Senior Data Scientist Jobs in Canton, OH

Description We are offering an exciting opportunity for a Senior Data Scientist in Canton, Ohio, United States. The hired detail-oriented individual will engage in developing innovative solutions using advanced machine learning techniques, leading multiple data science projects, and mentoring entry-level data scientists. The role also involves a significant amount of collaboration with different teams and stakeholders. Responsibilities: - Lead the development and prototyping of new solutions to meet emerging business requirements. - Adopt advanced machine learning techniques such as deep learning, NLP, computer vision, and reinforcement learning to create innovative solutions. - Oversee multiple data science projects ensuring alignment with business goals. - Construct predictive models and integrate them with Business Intelligence tools while optimizing model performance. - Design and maintain data pipelines for efficient data retrieval and processing. - Cooperate with applications and data engineering teams for deploying models at scale. - Guide entry-level data scientists in model development and data handling. - Engage with Senior Leadership to inform strategic decisions using business intelligence insights. - Explore and adopt cutting-edge technologies and methodologies in data science. - Conduct exploratory data analysis to identify patterns, insights, and communicate findings. - Manage stakeholder expectations and deliver actionable solutions. - Supervise data processing pipelines ensuring data quality and consistency. - Foster ethical considerations in model deployment and data utilization. - Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets. Requirements - Position: Senior Data Scientist - Minimum of 5 years of relevant work experience - Proficiency in Apache Kafka, Apache Pig, and Apache Spark - Experience with Cloud Technologies is essential - Strong skills in Data Visualization and Algorithm Implementation - Proven ability in Analytics and Apache Hadoop - Experience in API Development is required - Familiarity with AWS Technologies is a must - Knowledge of OpenNLP is preferred - Deep understanding of Deep Learning principles - Expertise in Machine Learning is crucial Call today for Immediate Consideration! Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) .

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Sr. Strategic Data Scientist at CoverMyMeds makes a significant contribution to the success of our company. This role is broadly responsible for value proposition refinement and supporting key customer teams by providing world-class analytics and insight into our vast store of live data. This position collaborates extensively with business units and channels across the company and supports the business goals of external clients. About You: Our ideal candidate is curious, thrives in a constantly changing environment and seamlessly crafts data narratives to communicate key findings and actionable insights to our customers and colleagues. What You'll Do: * Serve as the lead point of contact for all customer analytics matters and liaise with other data functions as required to connect the dots across data sets. * Frequently develops proactive data and storytelling to help anticipate and meet the strategic needs of a customer and Customer Success Team (CST) leaders. * Develop trusted advisor relationships with key accounts, customer stakeholders and executive sponsors. * Develop custom data models and algorithms to apply to data sets, track model performance ensuring alignment to business value drivers. * Utilize complex statistical and predictive modeling to make predictions about future outcomes and in multiple scenarios. * Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. * Ensure the timely and successful delivery of our solutions according to customer needs and objectives. * Clearly communicate the progress of monthly/quarterly analytics requests to internal and external stakeholders * Lead new data-driven insight presentations with customers. * Use creative means to proactively identify areas of improvement to enhance product value for clients. * Keep abreast on data and analytics challenges and opportunities across products and customer bases. * Forecast and track key account metrics (e.g., quarterly sales results and annual forecasts). * Assist with challenging client requests or issue escalations as needed. * Perform in-depth analysis to identify key business risks and opportunities and make recommendations to improve overall profitability and value. * Distill complex data and relationships into clear, concise charts and visualizations. * Contribute insight to strategic and tactical decisions that impact competitive position, product design, analytics, and operations. * Become a subject matter expert (SME) on CoverMyMeds programs and the pharmaceutical industry. * Work on high-profile customer accounts in collaboration with account management teams. Candidate must be based in the metropolitan area of our hub city Columbus, OH. Position will primarily allow for remote working, but candidate must reside in the Columbus, OH area and be willing to come into the office from time to time for key meetings and face time. We are unable to provide sponsorship now or in the future for this position. Minimum Qualifications: Degree or equivalent and typically requires 7+ years of relevant experience Education: * BA/BS required in Data Science, Statistics, Computer Science, Engineering, Public Health Information, Bioinformatics, or equivalent quantitative field. * MS or Advanced degree preferred Critical Skills You'll Need: * 5-7 years' of experience in an analytics role. * 5-7 years' Statistical Software experience (PYTHON, R, MATLAB, SAS, etc.) * 2+ years' experience with transactional data management. * Demonstrated data mining technical knowledge and skills for use in decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc. * Proven ability to transform large transactional datasets into meaningful outcomes. Preferred Skills: * Curious problem solver by nature; able to quickly make sense of complex data issues. * Driven, self-motivated, team player adept at working in environment with competing priorities. * Strong experience with data mining, analysis, and providing insights. * Adept at creating queries, writing reports, and presenting findings. * Advanced proficiency in SQL. * Advanced proficiency in data visualization tools e.g., Excel, Tableau, R Studio, etc. * Proven ability to create meaningful data science tools, apps, and/or models that leads to improved business decisions. * Able to communicate and manage expectations. * Excellent communication and presentation skills including to senior leadership and C-Suite external stakeholders; able to "think on your feet" and respond to questions where the answer is not known or not straightforward. (able to provide complex analysis in layman's terms - at varying levels of audience, from peer set to C-suite). Additional Skills: * Industry Expertise - Insurance, Pharmaceutical, or Healthcare. * Specific preference for pharmaceutical claim adjudication experience. * Collaboration - Key success factors in this role include leading without direct authority, building relationships across multiple functions, and listening to input and perspectives from across the organization, customers, and industry stakeholders. * Passion - The candidate should have a passion for improving US healthcare and a desire to join a team that focuses every day on enabling healthier lives through the work that we do. Starting Pay is between $125,000 to $130,000 based on skills and qualifications for this role in Columbus, OH. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $124,200 - $207,000 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

Data Management and Analytics Job Summary: Manage the institutional research efforts by developing, implementing and supporting the database and reporting components to specific needs and requirements defined. Support the reporting needs and responsibilities associated with the HEI state reporting, IPEDS reporting and various surveys subscribed to by the university. Contribute to IR's database development and analytics efforts including objects associated with the institution's data warehouse and business intelligence technology. Supervise other staff working within the department providing oversight, guidance and mentoring. Essential Functions: 40% Serve as primary access point for internal and external requests for university information and in the design and development of recurring and ad hoc queries, analytics and reporting objects. Assign work to supervised staff and monitor progress on tasks. 20% Support the preparation of official university reports and surveys for State, Federal, and external agencies and organizations. 20% Maintain working knowledge of critical systems and data sources. Keep current on emerging trends and directions. Serve on various university institutional and governance groups and bodies. 10% Develop sound data administration protocols related to respective IR reporting areas. 10% Serve as the IR support person for database and analytics development efforts in conjunction with staff from Information Technology Services. Additional Position Information: Required Qualifications: Relevant Bachelor's Degree A minimum of 4 years' experience in reporting data related to higher education or related work experience A minimum of 2 years' experience in Institutional Research and knowledge of IPEDS and external surveys such as Common Data Set, HLC, and US News reporting. Use of statistical and database management software, strong communication skills, ability to work harmoniously and effectively with personnel at all levels required. High degree of organization, numerical accuracy, and attention to detail required. Requires active listening, critical thinking, good interpersonal skills and the ability to manage multiple tasks while meeting deadlines. Requires ability to present complex findings and recommendations in a clear concise manner verbally and in writing. Requires the ability to provide good judgment, decision-making, and problem solving. Preferred Qualifications: Highly proficient in using statistical and productivity software such as R, SAS, Power BI, Tableau, and Excel to transform, clean, analyze, and manage data; report statistics; create tables, graphs, and presentations. Able to understand policy issues in higher education, particularly pertaining to undergraduate students at a selective public research university. Demonstrates ability to learn quickly, reason, synthesize, and generalize based on analysis of data. Master's degree in related area. Application Instructions: In order to be considered for this position, please complete the online application and attach your resume and cover letter. Application Deadline: Review of applicants will begin on April 24, 2025. Compensation: The compensation for this position is commensurate with experience. FLSA Status (exempt/nonexempt): United States of America (Exempt) Union Affiliation (if applicable): For assistance with your application or attachments, please contact the Human Resources representative listed: Sena Jodoin Email: ****************** ________________________________________________________________________ Background Check Statement The University of Akron is committed to providing a safe environment for all students and employees. The University endeavors to protect the health, welfare and safety of all students, employees and visitors on our campus. As such, all offers of employment with The University of Akron are contingent upon verification of credentials, and satisfactory completion of a criminal background check. Some positions may require additional credit investigation and a pre-employment driving record search. Non-Discrimination Statement The University of Akron is an Equal Education and Employment Institution. View our Non-Discrimination Statement for more information. Equal Opportunity Employer, including disability/veterans. State of Residence Statement It is the expectation of the University of Akron that all work performed as an employee of the University will be performed in Ohio.

Eaton's Corporate Sector division is currently seeking a Cloud Data Engineer. The expected annual salary range for this role is $105000.03 - $154000.04 a year. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. **What you'll do:** _Job Summary:_ At Eaton we are modernizing the way we use data to accelerate our digital transformation. Join our Information Technology team and help positively impact our business through leading technologies, exciting and challenging enterprise projects, and new platforms. We are transforming to a Product Centric organization utilizing agile practices to help us work more incrementally and fluidly, allowing us to respond more quickly to changing business needs. In this role, you will be instrumental in implementing the integration strategy for the data mesh architecture as part of the Chief Data Management office. You will be the subject matter expert on the integration platforms and will lead research into exploring and enabling the right toolset for the Hybrid integration platform and enabling democratized agile integration across the organization. You will also enable the team to rapidly experiment and iterate on strategies, helping drive critical decisions on how we shape the product and services provided by integration services. Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each and every day. It's where bold, bright professionals like you can reach your full potential-and where you can help us reach ours." _Job Responsibilities:_ - Create robust and automated data pipelines using traditional and modern data integration technologies, including ETL/ELT, data replication/CDC, streaming, message-oriented data movement and API-based data acquisition leveraging cloud native tool-set. - Monitor and optimize data integration processes for performance and scalability and implement data security measures for the data ingestion pipelines - Drive development and adoption of self-service capabilities and champion as an enabler for adopters of the platform - Troubleshoot and resolve data integration issues and provide operational support for releases and maintenance. Adhere to operational SLAs and KPIs. - Establish end to end continuous integration and deployment and guide the team on best practices - Simplify the tooling landscape to sunset legacy applications while minimizing business disruption." **Qualifications:** **Basic Qualifications(required):** - Bachelor's degree in STEM (Science, Technology, Engineering, Mathematics) from accredited university. - 6+ years of experience in data integration, data lifecycle management and programming. - 3+ years of experience with one of the Cloud platforms ( Azure, GCP or AWS ) - Must be legally authorized to work in the United States without company sponsorship both now and in the future. - No relocation benefit is being offered for this role. All candidates considered must live within 50 miles of job posting location. Active-Duty Military Service member candidates are exempt from the geographical area limitation. * _This role must report on-site 3 days a week at one of the following locations: Beachwood, OH; Charlotte, NC ; Moon Township, PA ; Houston, TX ._ **Preferred Qualifications(required):** - Demonstrated experience working with large datasets building ETL/ELT pipelines using technologies such as Azure Data Factory, Informatica Cloud, dbt etc. - Experience with distributed systems, streaming platforms such as Confluent Kafka, Azure Event . - Proficiency with SQL,and using Python or Java for data processing pipelines. - Strong experience with Terraform, GitHub and GitHub Actionsc. - Experience with data replication/CDC tools such as Qlik Replicate, Fivetran or Golden Gate is a plus. - Strong understanding of cloud-based data solutions such as Azure Data Lake Storage, Snowflake, Redshift, Databricks etc. - Ability to lead as the subject matter expertise in the space through diagnosing, isolating, and resolving complex issues and recommending and implementing strategies to resolve problems. - Curious and solution oriented, ability to handle problems from all sides, work outside the comfort zone , collaborative, open minded and effective communicator. - Ability to identify operational issues and proactively solutions to resolve problems, operate in a KPI driven framework. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at ************** to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here (*********************************************************************************************** for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY is seeking a motivated professional with solid experience in the industrials, energy or utilities sector to serve as a Senior AI Data Engineer who possesses a robust background in AI, Gen AI, Agentic AI, preferably with an electrical engineering background. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the industrials, energy, and utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data architectures. **The opportunity** As a Senior Data Engineer, you will be at the forefront of designing and implementing analytics solutions that drive substantial business value. You'll work closely with a diverse group of stakeholders to translate complex business requirements into precise technical specifications. Your role is crucial in bridging the gap between business needs and technical solutions, ensuring the successful execution of data-driven projects. **Your key responsibilities** In this role, you will design, develop, and maintain scalable data architectures, both on-premises and in the cloud. You'll manage the efficient storage, integration, validation, and security of data throughout its lifecycle. Your contributions will be vital to the delivery of processes, solutions, or projects, requiring you to exercise judgment and select appropriate methodologies to inform recommendations. You will be responsible for meeting your own targets, which will impact the performance of your team, and may guide junior colleagues to achieve project deliverables. + Design and implement scalable data architectures + Ensure efficient data lifecycle management + Contribute to the delivery of key projects and solutions + Architect and refine AI data architecture and modern data pipelines, integrating agentic AI solutions for clients in the industrials, energy, or power and utility sectors. + Leveraging your knowledge of industrials, energy or power and utility systems and processes to define data requirements, gather, profile and analyze large scale structured and unstructured source data, and develop AI/GenAI/Agentic AI solutions + Develop the mechanisms to ingest, analyze, validate, normalize, and clean data to support standardization, customization and ad hoc data analysis needs + Evaluate and implement cutting-edge tools and methodologies to enhance data engineering productivity. + Collaborate with a diverse team of business analysts, solution architects, and data scientists to develop strategic enterprise solutions and data products. **Skills and attributes for success** To excel in this role, you should demonstrate expertise in cloud computing, data architecture design, data integration, and software engineering. Your ability to manage relationships, think critically, and adapt with emotional agility will be key to your success. + A deep understanding of the value chain and core processes within the energy, or power systems sectors. + Proficiency in AI, GenAI/Agentic AI, relational SQL databases, DevOps, continuous integration, and data lake concepts. + A proven ability to design and maintain complex data integrations and ETL pipelines. + Strong organizational skills, capable of leading projects across globally distributed teams. + Exceptional communication skills and the ability to troubleshoot complex data issues. + Collaborate with stakeholders to define technical specifications + Participate in client sessions and lead workstream teams + Manage resource plans, budgets, and project statuses **To qualify for the role, you must have** + A Bachelor's degree in electrical/Power Systems Engineering, AI, Computer Science, Data Science, or a related field. + At least 5 years of experience in data engineering, AI, and analytics. + At least 5 years of experience in the power and utilities sector. + A track record of implementing complex data solutions and familiarity with cloud services, data engineering programming languages, and data architecture. + Demonstrated understanding and experience using: + AI, GenAI/Agentic AI + Relational SQL databases + DevOps and continuous integration + Microsoft Fabric, Databricks/Snowflake + GitHub + Experience in cloud computing, data architecture design, data integration, and software engineering + Professional certifications as defined by service line policies + Relationship management skills + Critical thinking and emotional agility **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Leadership experience with a focus on team development and mentorship. + A passion for leveraging emerging technologies to address real-world problems. + A commitment to creating an inclusive work environment that celebrates diversity. **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. FY25NATAID **What we offer** We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,100 to $192,700. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. + **Continuous learning:** You'll develop the mindset and skills to navigate whatever comes next. + **Success as defined by you:** We'll provide the tools and flexibility, so you can make a meaningful impact, your way. + **Transformative leadership:** We'll give you the insights, coaching and confidence to be the leader the world needs. + **Diverse and inclusive culture:** You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. **If you can demonstrate that you meet the criteria above, please contact us as soon as possible.** EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here (********************************************************************************************************************************************************************** for additional information. _EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. _ _EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at_ _**************************_ _._

**Employment Type:** W-2 + This role will help fulfill an important vision that the company's Marketing Line of Business has in organizing various data streams (third party and internal data sources) into a single, scalable data warehouse in which several critical reports will be built from. + We are seeking a Senior Data Engineer with expertise in Google Cloud Platform (GCP) to design and build data pipelines, database architectures, and robust reporting solutions. + The ideal candidate has strong SQL skills, experience with GCP data services and tools while being able to visualize results through extensive Tableau development to transform raw data into meaningful insights. **Key Responsibilities: Data Pipeline Development** + Design, develop, and maintain ETL/ELT pipelines using Cloud Composer (Apache Airflow), Dataflow, Python and/or BigQuery. + Optimize data ingestion, transformation, and storage for efficiency and scalability. + Familiarity with setting up monitoring and/or alerting for data pipelines using Cloud Logging and Monitoring or other methodologies **Database Architecture & Data Modeling** + Assist with Marketing's "Clean Well of Data" project by creating, organizing and maintaining a data warehouse architecture in BigQuery, ensuring best practices in schema design, partitioning, and clustering. + Ability to take general direction on where to pull date from and using SQL, Client how best to query and leverage them independently. + Implement data governance and performance optimization techniques. + Establish data cataloging and metadata management for structured documentation. **SQL Development & Performance Tuning** + Write and optimize complex SQL queries for business logic, aggregations, and transformations + Implement stored procedures, views, tables, common table expressions (CTEs), and materialized views for efficient querying. + Troubleshoot query performance issues. **Business Intelligence & Reporting (Tableau)** + Design and develop interactive dashboards and reports in Tableau. + Integrate BigQuery with Tableau for real-time analysis through efficient data source setup. + Work with stakeholders to understand business requirements and translate them into visual analytics solutions. **Experience:** + Familiarity with Google (GCP) Tools and Architecture + Visualization Expert (Tableau preferred) **Skills:** + Seasoned resource - This will be a lead role and need experience, good communication and creative ideas **Education:** Bachelor's degree or equivalent experience **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Shearer's is a leading contract manufacturer and private label supplier in the snack industry in North America. Headquartered in Massillon, Ohio, Shearer's has 17 state-of-the-art, geographically diverse manufacturing facilities in Ohio, Texas, Arkansas, Arizona, Minnesota, Pennsylvania, Virginia, Iowa, Ontario and Alberta, Canada, including one of the industry's first Leadership in Energy and Environmental Design platinum LEED certified facilities in Massillon, Ohio. The Company is known for producing the highest quality snacks in assorted flavors and sizes, including kettle cooked potato chips, traditional potato chips, tortilla chips, cheese curls and other extruded snacks, and corn chips, as well as cookies, crackers, and wafers. Senior Data Warehouse Engineer Massillon, Ohio (Hybrid Schedule) Grade Level 7 Position Summary: We are seeking an experienced Sr. Data Warehouse Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and managing data warehouse solutions, with a particular focus on integrating and utilizing Power BI for business intelligence and analytics. Your Seat at the Table: Design, develop, and maintain Data Warehouse Solutions: Create and maintain efficient data warehouse architecture, data models, and databases to support business intelligence and analytics needs Power BI Integration: Develop and implement Power BI semantic models, dashboards and reports to provide actionable insights to stakeholders Data Strategy and Governance: Work with stakeholders to define and implement data strategies, ensuring data accuracy, security, and regulatory compliance ETL Processes: Design, program, and manage ETL (Extract, Transform, Load) processes to ensure efficient data flow and integration Data Quality and Performance: Ensure data quality, consistency, and performance optimization of the data warehouse Collaboration: Collaborate with data scientists, analysts, and IT team members to understand data needs and deliver effective solutions Documentation: Document all data warehouse architecture changes and choices What you Bring to the Table: Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Experience: 5-10 years of progressive experience in data modeling/design/engineering and real-world experience with end-to-end development of designed solutions. Proven experience as a Data Warehouse Engineer or similar role, with expertise in Microsoft SQL Server, Power BI, Microsoft Fabric, and Azure Data Lake. Ability to provide leadership to other developers Technical Skills: Proficiency in SQL, data modeling, ETL processes, and data warehousing concepts. Strong knowledge of Power BI, including DAX and Power Query Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate business requirements into technical specifications Communication Skills: Excellent communication and collaboration skills to work effectively with cross-functional teams Preferred Skills: Proficiency and/or experience in SQL Server programming and job management, SSIS, SSAS, Boomi Integration software Familiarity with Azure, Databricks, Fabric, Data Lakehouse technology and best practice usage Experience designing and implementing advanced data solutions using Databricks or Fabric, focusing on scalability, performance, and business value Demonstrated ability to move from on-prem to a cloud modern data platform Experience with cloud-based data warehousing solutions (e.g., Azure, AWS, Google Cloud). Experience with Power BI workspaces, security, user/permission management, continuous pipeline deployment Knowledge of new tools and trends of BI technologies Familiarity with data governance including data org structures including best practice operating models and intake processes Exposure to AI/ML driven analytics/automation and Python/R programming is also a plus, but not required. We Offer a Feast of Benefits Medical, Dental, Vision, Life, Flexible Spending Account, Retirement Savings Plan with Match, Short Term Disability, Long Term Disability, Group Critical Accident Insurance, Group Critical Illness Insurance, Employee Assistance Plan and numerous opportunities to volunteer in the communities in which we operate. You will be considered for employment in our inclusive workplace Because at Shearer's, we are committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, protected veteran status, or any other characteristic protected by law. This is your invitation to apply now! Note: Shearer's does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Shearer's is not responsible for any fees related to unsolicited resumes. [IT]

Shearer's is a leading contract manufacturer and private label supplier in the snack industry in North America. Headquartered in Massillon, Ohio, Shearer's has 17 state-of-the-art, geographically diverse manufacturing facilities in Ohio, Texas, Arkansas, Arizona, Minnesota, Pennsylvania, Virginia, Iowa, Ontario and Alberta, Canada, including one of the industry's first Leadership in Energy and Environmental Design platinum LEED certified facilities in Massillon, Ohio. The Company is known for producing the highest quality snacks in assorted flavors and sizes, including kettle cooked potato chips, traditional potato chips, tortilla chips, cheese curls and other extruded snacks, and corn chips, as well as cookies, crackers, and wafers. Senior Data Warehouse Engineer Massillon, Ohio (Hybrid Schedule) Position Summary: We are seeking an experienced Sr. Data Warehouse Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and managing data warehouse solutions, with a particular focus on integrating and utilizing Power BI for business intelligence and analytics. Your Seat at the Table: Design, develop, and maintain Data Warehouse Solutions: Create and maintain efficient data warehouse architecture, data models, and databases to support business intelligence and analytics needs Power BI Integration: Develop and implement Power BI semantic models, dashboards and reports to provide actionable insights to stakeholders Data Strategy and Governance: Work with stakeholders to define and implement data strategies, ensuring data accuracy, security, and regulatory compliance ETL Processes: Design, program, and manage ETL (Extract, Transform, Load) processes to ensure efficient data flow and integration Data Quality and Performance: Ensure data quality, consistency, and performance optimization of the data warehouse Collaboration: Collaborate with data scientists, analysts, and IT team members to understand data needs and deliver effective solutions Documentation: Document all data warehouse architecture changes and choices What you Bring to the Table: Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Experience: 5-10 years of progressive experience in data modeling/design/engineering and real-world experience with end-to-end development of designed solutions. Proven experience as a Data Warehouse Engineer or similar role, with expertise in Microsoft SQL Server, Power BI, Microsoft Fabric, and Azure Data Lake. Ability to provide leadership to other developers Technical Skills: Proficiency in SQL, data modeling, ETL processes, and data warehousing concepts. Strong knowledge of Power BI, including DAX and Power Query Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate business requirements into technical specifications Communication Skills: Excellent communication and collaboration skills to work effectively with cross-functional teams Preferred Skills: Proficiency and/or experience in SQL Server programming and job management, SSIS, SSAS, Boomi Integration software Familiarity with Azure, Databricks, Fabric, Data Lakehouse technology and best practice usage Experience designing and implementing advanced data solutions using Databricks or Fabric, focusing on scalability, performance, and business value Demonstrated ability to move from on-prem to a cloud modern data platform Experience with cloud-based data warehousing solutions (e.g., Azure, AWS, Google Cloud). Experience with Power BI workspaces, security, user/permission management, continuous pipeline deployment Knowledge of new tools and trends of BI technologies Familiarity with data governance including data org structures including best practice operating models and intake processes Exposure to AI/ML driven analytics/automation and Python/R programming is also a plus, but not required. We Offer a Feast of Benefits Medical, Dental, Vision, Life, Flexible Spending Account, Retirement Savings Plan with Match, Short Term Disability, Long Term Disability, Group Critical Accident Insurance, Group Critical Illness Insurance, Employee Assistance Plan and numerous opportunities to volunteer in the communities in which we operate. You will be considered for employment in our inclusive workplace Because at Shearer's, we are committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, protected veteran status, or any other characteristic protected by law. This is your invitation to apply now! Note: Shearer's does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Shearer's is not responsible for any fees related to unsolicited resumes. [IT]

Data Management and Analytics Job Summary: Manage the institutional research efforts by developing, implementing and supporting the database and reporting components to specific needs and requirements defined. Support the reporting needs and responsibilities associated with the HEI state reporting, IPEDS reporting and various surveys subscribed to by the university. Contribute to IR's database development and analytics efforts including objects associated with the institution's data warehouse and business intelligence technology. Supervise other staff working within the department providing oversight, guidance and mentoring. Essential Functions: 40% Serve as primary access point for internal and external requests for university information and in the design and development of recurring and ad hoc queries, analytics and reporting objects. Assign work to supervised staff and monitor progress on tasks. 20% Support the preparation of official university reports and surveys for State, Federal, and external agencies and organizations. 20% Maintain working knowledge of critical systems and data sources. Keep current on emerging trends and directions. Serve on various university institutional and governance groups and bodies. 10% Develop sound data administration protocols related to respective IR reporting areas. 10% Serve as the IR support person for database and analytics development efforts in conjunction with staff from Information Technology Services. Additional Position Information: Required Qualifications: Relevant Bachelor's Degree A minimum of 4 years' experience in reporting data related to higher education or related work experience A minimum of 2 years' experience in Institutional Research and knowledge of IPEDS and external surveys such as Common Data Set, HLC, and US News reporting. Use of statistical and database management software, strong communication skills, ability to work harmoniously and effectively with personnel at all levels required. High degree of organization, numerical accuracy, and attention to detail required. Requires active listening, critical thinking, good interpersonal skills and the ability to manage multiple tasks while meeting deadlines. Requires ability to present complex findings and recommendations in a clear concise manner verbally and in writing. Requires the ability to provide good judgment, decision-making, and problem solving. Preferred Qualifications: Highly proficient in using statistical and productivity software such as R, SAS, Power BI, Tableau, and Excel to transform, clean, analyze, and manage data; report statistics; create tables, graphs, and presentations. Able to understand policy issues in higher education, particularly pertaining to undergraduate students at a selective public research university. Demonstrates ability to learn quickly, reason, synthesize, and generalize based on analysis of data. Master's degree in related area. Application Instructions: In order to be considered for this position, please complete the online application and attach your resume and cover letter. Application Deadline: Review of applicants will begin on April 24, 2025. Compensation: The compensation for this position is commensurate with experience. FLSA Status (exempt/nonexempt): United States of America (Exempt) Union Affiliation (if applicable): For assistance with your application or attachments, please contact the Human Resources representative listed: Sena Jodoin Email: ****************** ________________________________________________________________________ Background Check Statement The University of Akron is committed to providing a safe environment for all students and employees. The University endeavors to protect the health, welfare and safety of all students, employees and visitors on our campus. As such, all offers of employment with The University of Akron are contingent upon verification of credentials, and satisfactory completion of a criminal background check. Some positions may require additional credit investigation and a pre-employment driving record search. Non-Discrimination Statement The University of Akron is an Equal Education and Employment Institution. View our Non-Discrimination Statement for more information. Equal Opportunity Employer, including disability/veterans. State of Residence Statement It is the expectation of the University of Akron that all work performed as an employee of the University will be performed in Ohio.

ForTec Medical is an industry leader dedicated to improving patient health by delivering innovative surgical technologies to our healthcare customers on demand. Our dedicated team provides service excellence, and we take pride in what we do each and every day. ForTec's commitment to excellence, integrity, and positive culture defines our organization. These core values and our entrepreneurial spirit are the foundation of ForTec. Job Description ForTec is seeking a Data Engineer to work out of our Home Office in Hudson, Ohio, two to three times per week and additionally as needed. The Data Engineer is responsible for designing, developing, and maintaining robust data solutions to support enterprise applications, analytics and business intelligence. This role involves creating and optimizing relational databases, implementing ETL processes, managing data pipelines using Azure Data Factory, and developing data warehouse solutions. The Data Engineer will also design and deliver reports and dashboards, execute CI/CD pipelines, and ensure seamless data integration. Collaborating with cross-functional teams, this role delivers scalable, high-performance data solutions that meet organizational needs. Design, develop, and optimize relational databases using SQL Ensure data integrity and security across all databases Develop ETL processes to ingest and transform data from various sources Develop and maintain data warehouse solutions to support business intelligence initiatives Create and manage data pipelines using Azure Data Factory Automate data workflows and ensure seamless data integration across systems Design and implement fact and dimension tables using dimensional modeling techniques Optimize data models for reporting and analytics performance Develop reports and dashboards using SSRS and Power BI Collaborate with stakeholders to gather requirements and translate them into technical solutions Implement continuous integration and continuous deployment (CI/CD) pipelines using Azure DevOps Automate deployment processes for databases, data warehouses, and reporting solutions Qualifications 3 or more years of experience in Data Engineering or Data Warehousing Knowledge of cloud services, particularly Microsoft Azure Strong proficiency in SQL and database design Extensive experience with database design, development, and optimization Proficient in creating and managing data pipelines using Azure Data Factory Extensive experience in ETL processes, including data ingestion and transformation from diverse sources Proficient in designing and implementing fact and dimension tables using dimensional modeling techniques Hands-on experience with Azure DevOps for implementing CI/CD pipelines Familiarity with Power BI and SSRS for developing reports and dashboards Familiarity with Agile/Scrum methodologies Certifications in Microsoft technologies or Azure is a plus Additional Information Our continued growth and success have allowed us to provide exciting career opportunities for passionate, customer-focused, and highly motivated individuals. We provide our employees with a generous benefits package, including: Competitive compensation package 401(k) plan with generous company match; Annual Profit-Sharing opportunity Medical, dental, vision, disability, and life insurance plan options Free Teladoc Health Account Generous Paid Time Off (PTO) Company Paid Holidays Health and Wellness Rewards Program Employee Referral Bonuses Service Milestone Awards Join ForTec Medical - make YOUR impact today! The Company is an equal opportunity employer. As such, we provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, citizenship, ethnicity, national origin, age, disability, pregnancy, genetic information, sexual orientation, status as a member of the United States armed forces, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer within PNC's Technology organization, you will be based in Pittsburgh, PA; Cleveland, OH; Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion. **PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position** Key responsibilities - - Design, Develop and maintain scalable and efficient data pipelines and ETL processes - Collaborate with analysts and stakeholders to gather requirements and implement data solutions that meet business needs - Proposes & designs data solutions to address complex business needs. Prepares technical and procedural documentation required. - Participates in code reviews & testing - Applies modern principles, methodologies, and tools to advance business initiatives and capabilities. - Develop and manage data integrations between various systems , ensuring seamless data flow and consistency - Optimize database and query performance to support analytical workloads - Monitor and troubleshoot data workflows to ensuring data quality and integrity at all times - Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem Skills- - Experience with data pipelines and ETL - informatica - Experience in SQL and database management systems - Knowledge of data modelling , warehousing concepts , and ETL processes - Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala. - Demonstrated analytical and problem-solving skills. - Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services - Proactive and detail oriented professional with strong sense of ownership - Creative problem solver who can tackle complex data challenges - Mentor who can guide junior engineers and contributes to team growth - Excellent problem solving communication and collaboration skills - Ability to work in agile environment. Experience with effectively prioritizing and executing tasks in a high-pressure environment successfully - Experience code deployment tools such as Udeploy, Artifactory, GitHub **Job Description** + Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions. + Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development. + Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow. + Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability. + Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: + **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. + **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. **Qualifications** Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. **Preferred Skills** Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning **Competencies** Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle **Work Experience** Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. **Education** Bachelors **Certifications** No Required Certification(s) **Licenses** No Required License(s) **Benefits** PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards (******************************* . **Disability Accommodations Statement** If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. **Equal Employment Opportunity (EEO)** PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. **California Residents** Refer to the California Consumer Privacy Act Privacy Notice (****************************************************************************************************** to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer within PNC's Technology organization, you will be based in Pittsburgh, PA; Cleveland, OH; Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position Key responsibilities - * Design, Develop and maintain scalable and efficient data pipelines and ETL processes * Collaborate with analysts and stakeholders to gather requirements and implement data solutions that meet business needs * Proposes & designs data solutions to address complex business needs. Prepares technical and procedural documentation required. * Participates in code reviews & testing * Applies modern principles, methodologies, and tools to advance business initiatives and capabilities. * Develop and manage data integrations between various systems , ensuring seamless data flow and consistency * Optimize database and query performance to support analytical workloads * Monitor and troubleshoot data workflows to ensuring data quality and integrity at all times * Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem Skills- * Experience with data pipelines and ETL - informatica * Experience in SQL and database management systems * Knowledge of data modelling , warehousing concepts , and ETL processes * Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala. * Demonstrated analytical and problem-solving skills. * Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services * Proactive and detail oriented professional with strong sense of ownership * Creative problem solver who can tackle complex data challenges * Mentor who can guide junior engineers and contributes to team growth * Excellent problem solving communication and collaboration skills * Ability to work in agile environment. Experience with effectively prioritizing and executing tasks in a high-pressure environment successfully * Experience code deployment tools such as Udeploy, Artifactory, GitHub Job Description * Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions. * Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development. * Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow. * Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability. * Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle Work Experience Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

The position offers sponsorship but their education has to be an IT-related degree with the appropriate number of years IT-exact related experience listed in the job details. Degrees not accepted are Electronics & Communications Engineering, Mechanical Engineering, Electrical and Electronics Engineering, Informational Management, and Management Information Systems. Each candidate will be evaluated accordingly based on their education and experience. For non-sponsored candidates, there is a degree and work experience combination needed if they do not have a technical degree. They have to meet the number of years of experience listed in the job details. Each candidate will be evaluated accordingly based on their education and experience. This is a Mon-Fri 8 hours/day job that requires off-hours production deployment/issues handling. The developer will work on-site at Cleveland and should be able to relocate to Cleveland within a month. This is a temp to permanent position after 6 months. The conversion salary range is approx $80k-100k based on their prior work experience and skill set. The worker should take care of car parking on their own. Candidates selected will have a first interview with the department manager through Teams. If selected for a second interview they will meet with other members of the department through Teams. The Integrations Data Engineer III is responsible for the design, development, testing, and support of enterprise ETL Feeds in support of various modern architecture projects. In-depth hands-on knowledge of modern Integrations Platform solutions, file and database ETL, XML transformation, web services, data security, integrity, validity, and reliability are required at the enterprise level. The Integrations Data Engineer will provide technical consulting to peers, management, business analysts, technical associates, and will collaborate with the architecture team and larger enterprise Integrations Community of Practice. Skill/Experience/Education Mandatory Skills- 5+ years IT experience. -5+ years' experience with the entire software development lifecycle i.e., requirements, design, implementation, integration testing, deployment and post-production support. 3+ years' experience building file-sourced ETL feeds on Talend Open Data Studio. 3+ years developing ETL between the following formats: CSV, XML, JSON, Database. 2+ years developing or administering solutions in an enterprise application platform such as Java EE. Advanced understanding of XML, XSD, XSLT, WSDL, and WSDL versioning best practices. Advanced understanding of Enterprise RDBMS, ER Diagrams, and developing SQL programs. -Experience using SOAP/RESTful APIs in Talend ETL. Strong ability in designing reusable and highly performant solutions. Desired Skills-Experience with Terraform -Experience with Dell Boomi Integration Platform-as-a-Service. -Experience developing, securing, and optimizing data feeds using public cloud services such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform. -Strong understanding of Service Oriented Architecture concepts. -Strong understanding of Microservices concepts. -Fundamental understanding of API Gateway / API Manager concepts. -Knowledge of authentication utilizing LDAP compliant technologies and authorization through SAML tokens. -Experience in creating/maintaining deployments using ANT or MAVEN scripts. -Experience in working in an Agile development environment. -Experience in using Jenkins and Git.

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

Eaton's Corporate Sector division is currently seeking a Cloud Data Engineer. The expected annual salary range for this role is $105000.03 - $154000.04 a year. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. What you'll do: Job Summary: At Eaton we are modernizing the way we use data to accelerate our digital transformation. Join our Information Technology team and help positively impact our business through leading technologies, exciting and challenging enterprise projects, and new platforms. We are transforming to a Product Centric organization utilizing agile practices to help us work more incrementally and fluidly, allowing us to respond more quickly to changing business needs. In this role, you will be instrumental in implementing the integration strategy for the data mesh architecture as part of the Chief Data Management office. You will be the subject matter expert on the integration platforms and will lead research into exploring and enabling the right toolset for the Hybrid integration platform and enabling democratized agile integration across the organization. You will also enable the team to rapidly experiment and iterate on strategies, helping drive critical decisions on how we shape the product and services provided by integration services. Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each and every day. It's where bold, bright professionals like you can reach your full potential-and where you can help us reach ours." Job Responsibilities: * Create robust and automated data pipelines using traditional and modern data integration technologies, including ETL/ELT, data replication/CDC, streaming, message-oriented data movement and API-based data acquisition leveraging cloud native tool-set. * Monitor and optimize data integration processes for performance and scalability and implement data security measures for the data ingestion pipelines * Drive development and adoption of self-service capabilities and champion as an enabler for adopters of the platform * Troubleshoot and resolve data integration issues and provide operational support for releases and maintenance. Adhere to operational SLAs and KPIs. * Establish end to end continuous integration and deployment and guide the team on best practices * Simplify the tooling landscape to sunset legacy applications while minimizing business disruption." Qualifications: Basic Qualifications(required): * Bachelor's degree in STEM (Science, Technology, Engineering, Mathematics) from accredited university. * 6+ years of experience in data integration, data lifecycle management and programming. * 3+ years of experience with one of the Cloud platforms ( Azure, GCP or AWS ) * Must be legally authorized to work in the United States without company sponsorship both now and in the future. * No relocation benefit is being offered for this role. All candidates considered must live within 50 miles of job posting location. Active-Duty Military Service member candidates are exempt from the geographical area limitation. * This role must report on-site 3 days a week at one of the following locations: Beachwood, OH; Charlotte, NC ; Moon Township, PA ; Houston, TX . Preferred Qualifications(required): * Demonstrated experience working with large datasets building ETL/ELT pipelines using technologies such as Azure Data Factory, Informatica Cloud, dbt etc. * Experience with distributed systems, streaming platforms such as Confluent Kafka, Azure Event . * Proficiency with SQL,and using Python or Java for data processing pipelines. * Strong experience with Terraform, GitHub and GitHub Actionsc. * Experience with data replication/CDC tools such as Qlik Replicate, Fivetran or Golden Gate is a plus. * Strong understanding of cloud-based data solutions such as Azure Data Lake Storage, Snowflake, Redshift, Databricks etc. * Ability to lead as the subject matter expertise in the space through diagnosing, isolating, and resolving complex issues and recommending and implementing strategies to resolve problems. * Curious and solution oriented, ability to handle problems from all sides, work outside the comfort zone , collaborative, open minded and effective communicator. * Ability to identify operational issues and proactively solutions to resolve problems, operate in a KPI driven framework. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at ************** to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Data Management and Analytics Job Summary: Manage the institutional research efforts by developing, implementing and supporting the database and reporting components to specific needs and requirements defined. Support the reporting needs and responsibilities associated with the HEI state reporting, IPEDS reporting and various surveys subscribed to by the university. Contribute to IR's database development and analytics efforts including objects associated with the institution's data warehouse and business intelligence technology. Supervise other staff working within the department providing oversight, guidance and mentoring. Essential Functions: 40% Serve as primary access point for internal and external requests for university information and in the design and development of recurring and ad hoc queries, analytics and reporting objects. Assign work to supervised staff and monitor progress on tasks. 20% Support the preparation of official university reports and surveys for State, Federal, and external agencies and organizations. 20% Maintain working knowledge of critical systems and data sources. Keep current on emerging trends and directions. Serve on various university institutional and governance groups and bodies. 10% Develop sound data administration protocols related to respective IR reporting areas. 10% Serve as the IR support person for database and analytics development efforts in conjunction with staff from Information Technology Services. Additional Position Information: Required Qualifications: * Relevant Bachelor's Degree * A minimum of 4 years' experience in reporting data related to higher education or related work experience * A minimum of 2 years' experience in Institutional Research and knowledge of IPEDS and external surveys such as Common Data Set, HLC, and US News reporting. * Use of statistical and database management software, strong communication skills, ability to work harmoniously and effectively with personnel at all levels required. * High degree of organization, numerical accuracy, and attention to detail required. * Requires active listening, critical thinking, good interpersonal skills and the ability to manage multiple tasks while meeting deadlines. * Requires ability to present complex findings and recommendations in a clear concise manner verbally and in writing. * Requires the ability to provide good judgment, decision-making, and problem solving. Preferred Qualifications: * Highly proficient in using statistical and productivity software such as R, SAS, Power BI, Tableau, and Excel to transform, clean, analyze, and manage data; report statistics; create tables, graphs, and presentations. * Able to understand policy issues in higher education, particularly pertaining to undergraduate students at a selective public research university. * Demonstrates ability to learn quickly, reason, synthesize, and generalize based on analysis of data. * Master's degree in related area. Application Instructions: In order to be considered for this position, please complete the online application and attach your resume and cover letter. Application Deadline: Review of applicants will begin on April 24, 2025. Compensation: The compensation for this position is commensurate with experience. FLSA Status (exempt/nonexempt): United States of America (Exempt) Union Affiliation (if applicable): For assistance with your application or attachments, please contact the Human Resources representative listed: Sena Jodoin Email: ****************** ________________________________________________________________________ Background Check Statement The University of Akron is committed to providing a safe environment for all students and employees. The University endeavors to protect the health, welfare and safety of all students, employees and visitors on our campus. As such, all offers of employment with The University of Akron are contingent upon verification of credentials, and satisfactory completion of a criminal background check. Some positions may require additional credit investigation and a pre-employment driving record search. Non-Discrimination Statement The University of Akron is an Equal Education and Employment Institution. View our Non-Discrimination Statement for more information. Equal Opportunity Employer, including disability/veterans. State of Residence Statement It is the expectation of the University of Akron that all work performed as an employee of the University will be performed in Ohio.

We are Worldpay. Our technology powers the world's economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you're ready to start learning, growing and making an impact with a career in fintech, we'd like to know: Are you Worldpay? About the role: We are seeking talented and motivated Data Engineers to join our dynamic team. The ideal candidate will have a strong background in data engineering, with experience in various technologies and tools. This role involves designing, developing, and maintaining data pipelines, ensuring data quality and integrity, and supporting data-driven decision-making processes. Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements. Implement data architecture and data modeling solutions. Ensure data security and compliance with industry standards. Optimize and troubleshoot data workflows and processes. Develop and maintain documentation for data processes and systems. Required Skills: Proficiency in SQL for querying and managing relational databases. Experience in designing and structuring data systems (Data Architecture). Knowledge of Pyspark for big data processing and analytics. Familiarity with Snowpark for building data pipelines and processing data within Snowflake. Ability to automate data workflows (Data Pipelines). Experience in writing and optimizing stored procedures. Proficiency in using Databricks for big data analytics and machine learning. Expertise in Snowflake for data warehousing and analytics. Knowledge of AWS services (S3, Lambda, IAM, Boto3) for data storage, processing, and security. Understanding of secure methods for transferring data files (Secure File Transfer Processes). Additional Skills: Ability to design and document process flows. Experience with PGP encryption for securing data. Knowledge of Terraform for infrastructure as code. Proficiency in Tableau for data visualization and reporting. Experience with Power BI for creating interactive dashboards and reports. Familiarity with Google Cloud Platform (GCP) services. Understanding of data clean rooms for secure data collaboration. Knowledge of data sharing techniques. Basic understanding of machine learning algorithms. What we offer you: A career at Worldpay is more than just a job. It's the change to shape the future of fintech. At Worldpay, we offer you: • A voice in the future of fintech • Always-on learning and development • Collaborative work environment • Opportunities to give back • Competitive salary and benefits Worldpay is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $77,100.00 - $125,680.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process. Privacy Statement Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice. EEOC Statement Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here. For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.