Game Engineer Jobs At ZeniMax Media

Senior Data Engineer / Data Analytics Engineer - Full Remote Working from anywhere in the US SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed; -Cutting edge AR and VR technologies, 3D printing, etc. They are looking for a senior Data Engineer to join their FinTech team! You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions, ensuring data integrity through rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in Apache Airflow -Experience with ETL tools, data architecture, and data warehousing solutions -Strong communication skills W2 employer full time contract, initially till the end of 2025 with the option to extend yearly. Offer $65 to $75 an hour depending on experience (40 hours per week, Mon-Fri) plus 50% contribution to medical plan, sick leave and federal public holidays as PTOs. Full remote working from anywhere in the US.

Atlassian is looking for a Data Engineer to join our Data Engineering team and build world-class data solutions and applications that power crucial decisions throughout the organisation. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable a world-class data engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture. Working at Atlassian Atlassians can choose where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Data is a BIG deal at Atlassian. We ingest over 180 billion events each month into our analytics platform and we have dozens of teams across the company driving their decisions and guiding their operations based on the data and services we provide. The data engineering team manages several data models and data pipelines across Atlassian, including finance, growth, product analysis, customer support, sales, and marketing. You'll join a team that is smart and very direct. We ask hard questions and challenge each other to constantly improve our work. As a Data Engineer, you will apply your technical expertise to build analytical data models that support a broad range of analytical requirements across the company. You will work with extended teams to evolve solutions as business processes and requirements change. You'll own problems end-to-end and on an ongoing basis, you'll improve the data by adding new sources, coding business rules, and producing new metrics that support the business. Bachelor's/Master's degree or equivalent in a STEM field with a minimum 2+ Years of Experience in Data Engineering or related field. Expertise in Python or other modern programming languages. Working knowledge of relational databases and query authoring via SQL. Experience designing data models for optimal storage, retrieval and dashboarding to meet product and business requirements. Experience building scalable data pipelines using Spark or Spark-SQL with Airflow scheduler/executor framework or similar scheduling tools. Experience building real-time data pipelines using a micro-services architecture. Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka). Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. Well-versed in modern software development practices (Agile, TDD, CICD). Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $140,100 - $186,800 Zone B: $126,100 - $168,200 Zone C: $116,300 - $155,100 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks & benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefitsto learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Working at Atlassian Atlassians can choose where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.Atlassian is looking for a Data Engineer to join our Data Engineering Team. You will build top-notch data solutions and applications that inspire important decisions across the organization. You will be reporting to the Senior Data Engineering Manager. You'll have flexibility in where you work whether in an office, from home (remote), or a combination of the two. A typical day may involve collaborating with partners, you will design data models, acquisition processes, and applications to address needs. With experience in large-scale data processing systems (batch and streaming), you will lead business growth and enhance product experiences. And will collaborate with Technology Teams, Global Analytical Teams, and Data Scientists across programs. You'll take ownership of problems from end-to-end: extracting/cleaning data, and understanding generating systems. Improving the quality of data by adding sources, coding rules, and producing metrics is crucial as requirements evolve. Agility and smart risk-taking are important qualities in this industry where digital innovation meets partner/customer needs over time. On your first day, we'll expect you to have: BS in Computer Science or equivalent experience with 3+ years as a Data Engineer or a similar role Programming skills in Python & Java (good to have) Design data models for storage and retrieval to meet product and requirements Build scalable data pipelines using Spark, Airflow, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka) Familiar with modern software development practices (Agile, TDD, CICD) applied to data engineering Enhance data quality through internal tools/frameworks detecting DQ issues. Working knowledge of relational databases and SQL query authoring We'd be super excited if you have: Followed a Kappa architecture with any of your previous deployments and domain knowledge of Financial and People System Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $140,100 - $186,800 Zone B: $126,100 - $168,200 Zone C: $116,300 - $155,100 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks & benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefitsto learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Must have: Be strong in one of these ( ex: strong in sql and have some Python) Python SQL ßthis is likely very important Big Data (Spark, Hadoop, SQL) Some unit testing, testing the code they ‘ve written (For the Senior Developer only) Financial markets experience such as Nasdaq & other Nice to have's: Cloud

Seeking a Senior Data Engineer for the following role - Basic Qualifications 5+ years of relevant data engineering experience with specific experience in Airflow, Snowflake and Databricks. 1+ years of experience in Python. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Good understanding of SQL engines and able to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required. 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Education BS in Computer Science, Information Systems The estimated pay range for this position is USD $85.00/hr - USD $91.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

Seeking a Senior Data Engineer for the following role - Basic Qualifications 5+ years of relevant data engineering experience with specific experience in Airflow, Snowflake and Databricks. 1+ years of experience in Python. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Good understanding of SQL engines and able to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required. 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Education BS in Computer Science, Information Systems The estimated pay range for this position is USD $85.00/hr - USD $91.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

We are looking for an experienced Data Software Engineer to spearhead the development and optimization of distributed data systems. In this role, you will architect and manage structured and NoSQL data systems, design relational databases, and optimize performance for large-scale data operations. The ideal candidate will be a hands-on NodeJS Engineer with extensive experience in data queries. Responsibilities: Design, develop, and maintain back-end systems for web applications using Node.js Managing Structured Data Systems (defining fixed formats and general data structures that will apply to multiple data sets) Architecting and Designing Relational and NoSQL data structures Collaborate with front-end developers and back-end developers to build efficient ETL pipelines and ensure seamless integration Requirements: 8+ years of experience as a Full Stack or Back End Engineer Strong proficiency with NodeJS Expert knowledge of databases and SQL; no SQL and relational databases, Postgres Knowledgeable of design and architecture of data systems Familiar with working with the AWS platform Experience with ETL pipeline creation and management Proficiency with Git and GitHub workflows Experience writing unit tests Bachelor degree (or equivalent) in computer science, engineering, or similar field Location: Mountain View, CA (hybrid onsite schedule) Type: Full-time Salary Range: $190-220k (DOE) Submit resume to ***********************

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone's best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Job Summary: We are seeking a Senior Data Engineer to join our IT Operations team, responsible for transforming operational data into meaningful insights that drive efficiency, optimize service performance, and enhance decision-making. The ideal candidate will be a hands-on data expert with experience in designing scalable data pipelines, developing analytical models, and working with large datasets to extract actionable intelligence. What the candidate will do Demonstrate strong knowledge of and ability to operationalize, leading data technologies and best practices. Applying data modeling techniques to organize and transform data into meaningful and valuable output; and profiling large quantities of data to provide appropriate recommendations for products and/or processes. Design, build, automate and maintain data tools and solutions (e.g., pipelines, models, tables) to acquire, process, and store IT operation data by ensuring the accessibility, reliability, and quality of data for end users and to support reporting and data requirements. Research and recommend technologies and processes to support rapid scale and future state growth initiatives from the data front. Prioritize business needs, leadership questions, and ad-hoc requests for on-time delivery. Collaborate with internal business units and data teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions. Collaborate on architecture and technical design discussions to identify and evaluate high impact process initiatives. Lead the implementation of data governance, access control and identify and reduce security risks. Perform and participate in code reviews, peer inspections and technical design/specifications. Develop performance metrics to establish process success and work cross-functionally to consistently and accurately measure success over time Delivers measurable business process improvements while re-engineering key processes and capabilities and maps to future-state vision Prepare documentations and specifications on detailed design. Be able to work in a globally distributed team in an Agile/Scrum approach. Basic Qualifications Master's or Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience. 7+ years professional software development experience, including experience in the Data Engineering space Interact with product managers, and business stakeholders to understand data needs and help build data infrastructure that scales across the company Strong SQL skills - knows advanced level SQL coding (windows functions, CTEs, dynamic variables, Hierarchical queries, Materialized views etc) Experience with data-driven architecture and systems design knowledge of Hadoop related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto. Familiarity with metrics such as MMTR (Mean Minutes to Repair) and MTTD (Mean Time to Detect). Good hands-on experience with Object-Oriented programming languages like Python. Familiarity with Python data processing packages like Pandas and NumPy is a bare minimum. Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. HIVE,MySQL, Cassandra) and data warehousing architecture and data modeling. Working experience in cloud technologies like GCP, AWS, Azure Knowledge of reporting tools like Tableau, Looker Studio and/or other BI tools. Compensation Estimated Pay Range: $144500.00 - $145600.00 USD Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

About Nexon Nexon America is a branch of Nexon Co., Ltd., a global video game publisher and leading developer of online virtual worlds for PCs, consoles, and mobile devices. Nexon proudly offers celebrated franchises like MapleStory and Mabinogi that have been enjoyed by millions of players for over two decades. When we founded our Nexon America branch in 2006, we made it our goal to bring those unique games to western players using a player-first approach. We achieve that goal by applying our team's outstanding free-to-play expertise and live game support to every decision, every day. But we're committed to more than our games! Here at Nexon America, we're all about open communication, diversity, mutual respect, and collaboration, so we can bring out the best in each other. Nexies find support, friendship, and career growth all in one place! And because we know a healthy work-life balance is the key to happiness, Nexies also enjoy flexible hours, a hybrid work model, and extra perks like food trucks, happy hours, and team events. It's why we've earned the Great Place to Work certification for 5 years running! We're looking to expand our team with passionate individuals who want to learn, play, and grow with us. Ready for a new challenge? Summary of Position Nexon America's Western Dev team is looking to expand our team with gameplay engineers for a new exciting project. Ready for a new challenge? Join our team to learn, play, and grow with us! We announced our plan for the 'MapleStory Western Project' at GDC 2024 - a brief overview of the information posted for MapleStory players can be found on the official website: **************************************************************************** You will join the Western MapleStory Development team, where you will play a crucial role in designing, developing, and implementing game features that enhance the MapleStory experience. MapleStory experience. You will collaborate closely with game designers, artists, and other engineers to create engaging gameplay and ensure technical excellence. We are currently working in the office 2-3x a week in a hybrid work model. Job Responsibilities Develop and maintain core game features for MapleStory, including character abilities, quest systems, and user interface enhancements Collaborate with designers, artists, and the Korean dev team to bring creative visions to life within the game's engine Provide technical guidance and provide mentorship to junior team members Responds to technical issues in live service situations Optimize game performance and resolve bugs to ensure a seamless player experience Other duties as assigned Work Experience 8+ years of experience in software online game development or related field Experience as a software engineer in the game industry, online game development, or a related field Shipped three or more new game title(s) or experienced live game service over many years Management experience of 3 years or more is required Education, Professional Training, Technical Training or Certification Bachelor's degree in computer science/engineering, or equivalent experience Preference given to candidates with an award-winning history in public programming competitions Knowledge/Skills Required Proficient in C++ language Strong understanding of the online game development process and related skillsets Understanding of game mechanics and user experience in online games, as well as backend development experience with servers and databases. Excellent problem-solving skills and ability to work under tight deadlines Possesses the ability to communicate smoothly with other job functions and is also equipped with leadership skills as an engineer Proven leadership experience and strong expertise in code/tech review Preferred Passionate about MapleStory, with deep familiarity with its gameplay, history, and community Prior experience working on live online games with large user bases Experience with scripting languages such as Lua or Python Proficient in Korean Management has the right to add or change duties and job requirements at any time. Nexon's Benefits and Perks We offer medical, dental and vision plans for you, your spouse or domestic partner and your children. Employees who enroll in the high deductible health plan receive an annual employer contribution to a health savings account and company paid hospital indemnity benefits. We also provide company paid life, AD&D, short-term and long-term disability benefits as well as access to voluntary life and AD&D for yourself and your dependents, flexible spending accounts, a 401(k) savings plan with a company match, and pet insurance. Nexies are encouraged to take advantage of our monthly wellness credit, participate in lunchtime yoga, and enroll in language classes. We host bi-monthly catered lunches, monthly happy hours, and maintain a well-stocked snack bar. To help you maintain a good work life balance, we offer paid time off, sick days, company holidays, and a year-end break. Nexon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability. Compensation Description for Pay Transparency (annually) The base salary range for this position in El Segundo, CA is $170,000 - $195,000 annually. Our salary ranges are determined by market data based on position and level. The range displayed on each job posting reflects the minimum and maximum salaries for that position. An individual's pay is determined by factors including, but not limited to, a candidate's qualifications, skills, experiences, relevant education or training, and location. Base pay is one part of the Total Rewards package that is provided to compensate and recognize employees for their work. This role may be eligible for additional discretionary bonuses/incentives, however the salary range listed in this job posting reflects the base salary only. RequiredPreferredJob Industries Other

Seeking a Senior Data Engineer for the following role - Basic Qualifications 5+ years of relevant data engineering experience with specific experience in Airflow, Snowflake and Databricks. 1+ years of experience in Python. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Good understanding of SQL engines and able to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required. 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Education BS in Computer Science, Information Systems The estimated pay range for this position is USD $85.00/hr - USD $91.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

Hi, Job Title: Senior Data Engineer Duration: Contract to Hire Role Interview Process: Onsite Payrate: 75 to 80/hr. on C2C Responsibilities: Key Responsibilities: Design, develop, and maintain data pipelines using Spark, PySpark, and other big data technologies to process large datasets. Build and optimize complex SQL queries for data extraction, transformation, and loading (ETL) in both batch and real-time workflows. Work with cloud platforms such as AWS, Azure, or GCP to deploy and manage data infrastructure. Collaborate with cross-functional teams to gather data requirements and deliver data solutions that meet business needs. Ensure data quality, integrity, and consistency across different stages of data processing. Optimize and troubleshoot performance of Spark and SQL-based applications. Develop and implement data models and data architectures to support analytics and business intelligence initiatives. Create and maintain automated data workflows and ensure they are scalable and maintainable. Document data processes, architectures, and pipelines to ensure knowledge sharing across teams. Required Skills & Qualifications: Proven experience as a Data Engineer with expertise in Spark and PySpark for distributed data processing. Strong proficiency in SQL, including experience with writing complex queries, performance tuning, and database management. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data processing services such as AWS EMR, Azure Databricks, Google BigQuery, etc. In-depth understanding of ETL processes, data modelling, and data warehousing concepts. Experience working with large datasets and optimizing data pipelines for efficiency and scalability. Familiarity with data storage technologies like Hadoop, HDFS, and cloud-based data lakes. Knowledge of version control systems like Git, and experience working in Agile environments. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative team environment. Strong communication skills and the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with containerization and orchestration tools like Docker, Kubernetes, or Apache Airflow. Familiarity with machine learning concepts and integration of data pipelines with ML workflows. Experience with real-time data streaming technologies (Kafka, Apache Flink, etc.). Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Get to Know Us: It's fun to work in a company where people truly believe in what they're doing! At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications. Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance. Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers. Work, Play and Grow at BlackLine! Make Your Mark: As a member of the Data & BI Engineering team you will primarily focus on advancing our Enterprise Data Platform to allow the organization to make data-driven decisions. The successful candidate will work closely with cross-functional teams to identify business requirements, design, and develop data models, data warehouses, and data visualization solutions that help support the organization's strategic goals. The Staff Data Engineer will work in a dynamic environment and will be required to stay current with the latest trends and technologies in the business intelligence field. The ideal candidate will be able to pick up business domain and internal process knowledge and leverage that knowledge to think strategically, communicate effectively, and manage multiple projects simultaneously. The team is also responsible for administering tools and platforms around reporting, analytics, and data visualization while promoting best practices. The role requires a strong combination of technical expertise, leadership skills, and a deep understanding of data engineering principles and best practices. We are looking for a driven, detail-oriented, and passionate engineer to come to join our team. You'll Get To: Design and build infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources, including data identification, mapping, aggregation, conditioning, cleansing, and analyzing. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver valuable insights. Effectively communicate complex technical concepts to non-technical audiences. Maintain documentation and operational knowledge base. Coach and technically train junior staff on design and development standards and best practices. Design and implement data security and governance protocols to ensure the accuracy and reliability of data. What You'll Bring: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 10+ years of experience using RDBMS, SQL, Python, Java, or other programming languages is a plus. 5+ years working experience with SQL and familiarity with Snowflake data warehouse, strong working knowledge in stored procedures, CTEs, and UDFs, RBAC. Deep understanding of Data warehouse concepts, star, snowflake and dimensional modeling modeling and ETL/ELT best practices, scalability, complex process management, self-healing approaches, etc. Strong working knowledge in at-least one of the big data architecture such as Lambda, Kappa and Hub and Spoke Architectures. Excellent proficiency in Stream-processing systems like Storm, Spark-Streaming, kafka streaming and building real time data pipelines. Proficiency in Container technologies: Docker, and Kubernetes. Experience with modern Data Replication and Data processing tools such as Qlik, Fivetran. Understanding of data security and privacy regulations, with experience implementing data security best practices. Ability to define and manage user roles and permissions in Snowflake to ensure data security and privacy. Experience in working in a startup-type environment, good team player, and can work independently with minimal supervision. Proficient in managing large volumes of data. Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience in providing technical support and troubleshooting for data-related issues. We're Even More Excited If You Have: Experience with nosql systems such as mongodb, cockroach Db, apache cassandra etc. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. Significant experience with open source platforms and technologies. Experience with data science and machine learning tools and technologies is a plus. Thrive at BlackLine Because You Are Joining: A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation! A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives. A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity. BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws. BlackLine recognizes that the ways we work and the workplace itself have shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 2 days a week. Salary Range: USD $185,000.00 - USD $231,000.00 Pay Transparency Statement: Placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location. In addition to base pay, BlackLine also offers short-term and long-term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans. BlackLine is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form. Accommodations: BlackLine is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form.

Please note: This is an onsite (as opposed to Remote) role, based in our Redwood City, California office. Unfortunately, we are unable to accommodate Remote work for this position. Passion for IoT and/or Smart Home technologies is critical for this role. When applying for this position, please include your resume AND a separate page (i.e. cover letter) that describes your interest in, and experience with, IoT and Smart Home. Also, please combine your resume and the cover letter into one PDF document before submitting. About the company: Founded by ex-Apple Product and Engineering leaders, Level is redefining the smart home with technology that is simple, intuitive, useful, and invisible. At Level, we take a unique approach to designing products - one that shifts focus from what we make to how we make it and who we make it for. It's an approach that results in elegant and unique solutions, raising the bar for the entire smart home ecosystem. Now part of the Assa Abloy family, a global leader in access solutions, Level is positioned to accelerate innovation and expand our reach even further. This partnership strengthens our ability to deliver world-class smart home experiences while maintaining the vision and design excellence that have always set us apart. About the role: We're seeking an entry-level Software Engineer to join our collaborative team of engineers and hardware designers. In this role, you'll be developing backend software that closely integrates with our consumer hardware to measure, profile, and validate production products, creating effective feedback loops to drive product success. We expect our engineers to have significant ownership and responsibility, so you'll get to leave your mark and develop important skills as you work alongside other talented engineers. Responsibilities: Write, test, and maintain server software written in Go Understand, test, and review embedded software written in C & C++ Collaborate closely with firmware, electrical, and mechanical engineers to create effective feedback loops to tightly measure product performance Develop internal tools and features that improve testing and manufacturability of our products Utilize software engineering best practices and write well-crafted, well-tested, readable, and maintainable code Required Qualifications: A strong interest in smart home, IoT, or similar hardware-based field, demonstrated by projects or work experience A capacity to learn new skills quickly 1+ years of server side or full-stack software development experience, preferably using Go Solid computer science fundamentals (threading, abstraction and object-oriented design) along with strong, practical software development skills, prioritizing testability and reusability Preferred Qualifications: Experience working with a Firmware or Embedded Systems team Experience with parsing and dashboarding large datasets More about Level Home: When we look around our homes today, we see opportunity. We see “smart” products that lack utility and connected devices that push us further apart. We see consumers with high expectations, current standards set too low, and products that simply fail to deliver. Level Home Inc. is re-inventing the standard. We're redefining “smart”, to center around thoughtfulness, practicality, and the people who make the problem worth solving. We approach product design with a blank slate, zero assumptions, and an open mind, because the way a problem is defined sets the stage for its solution. We couple deep expertise with unbridled curiosity, because to us “smart” means simple, intuitive, and useful. We start with empathy, take new perspectives, and challenge existing standards. People are at the heart of what we do, and respecting their style, choices, and preferences is the first step to uncovering a thoughtful solution that truly improves their daily lives. After all, we're not just designing products for a house, we are designing them for the people who make it a home. Level Home Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, disability or genetic information, sex, sexual orientation, gender identity, or national origin. A note to Recruitment Agencies: Please do not reach out to Level employees or leaders about our roles -- we've got Recruiting covered. We don't accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding. {Thread, Matter, smarthome, smart-home, Internet of things, I0T, IoT, server-side, back-end, back end, backend, fullstack, full stack, Platform Engineer, IoT fleet}

Immediate need for a talented Data Engineer. This is a 06+months contract opportunity with long-term potential and is located in Irving, TX, Tampa, FL, New York, NY(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:25-62368 Pay Range: $45 - $47/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; Scala + spark + Java Bigdata, Spark, Scala/Java, Hive, Impala Strong SQL skills including analysis, optimization Good to have: Iceberg, Ozone, Kafka, ML Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Data Engineer - Bentonville,AR "Onsite Interview Required" · Experience with o Hadoop, Spark, Cloud, Scala, Streaming, Kafka o SQL / Datawarehousing o BI and Looker Views, Models, Explores, Looks/Charts o DS and Algorithm o CI/CD o Data Modeling o Airflow · Knowledge of o Cloud (GCP/Azure) o Backend, Spring

We are Cognizant Artificial Intelligence Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks. *You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future This is a ONSITE position open to any qualified applicant in the United States Job Title: Azure Data lead (ONSITE) Work Location: Dallas, TX We are seeking a highly qualified Lead with 12 to 15 years of experience in Azure Data Lake Store Azure DevOps Python Databricks SQL Databricks Workflows and PySpark. The ideal candidate will have a solid background in Property & Casualty Insurance. This hybrid role requires a deep understanding of technical and domain skills to drive impactful solutions. Responsibilities Lead the design and implementation of scalable data solutions using Azure Data Lake Store ensuring efficient performance and security. Be responsible for the development and deployment of data pipelines and workflows using Databricks Workflows and PySpark. Provide technical expertise in Python and Databricks SQL to develop and optimize data processing scripts. Collaborate with multi-functional teams to capture requirements and translate them into technical specifications. Ensure seamless integration of data solutions with existing systems and applications. Monitor and solve data workflows to ensure data quality and reliability. Implement standard processes for data governance and compliance within the Property & Casualty Insurance domain. Drive continuous improvement initiatives to improve data processing efficiency and effectiveness. Mentor and guide junior team members encouraging a culture of knowledge sharing and teamwork. Stay updated with the latest industry trends and technologies to drive innovation in data solutions. Conduct regular code reviews to ensure consistency to coding standards and best practices. Provide technical support and guidance to stakeholders ensuring successful project delivery. Collaborate with DevOps teams to automate deployment processes and improve operational efficiency. Qualifications Possess a strong background in Azure Data Lake Store Azure DevOps Python Databricks SQL Databricks Workflows and PySpark. Demonstrate extensive experience in the Property & Casualty Insurance domain. Exhibit excellent problem-solving skills and the ability to troubleshoot complex data issues. Showcase strong communication and teamwork skills to work optimally with cross-functional teams. Hold a relevant certification in Azure or related technologies. Display a proactive approach to learning and staying updated with industry trends. Demonstrable ability to mentor and guide junior team members. Solid understanding of data governance and compliance requirements. Experience in implementing standard processes for data processing and management. Ability to translate business requirements into technical specifications. Excellent organizational and time management skills. Strong analytical and critical thinking abilities. Commitment to delivering high-quality solutions that drive business value. Certifications Required Microsoft Certified: Azure Solutions Architect Guide Databricks Certified Associate Developer for Apache Spark Salary and Other Compensation Applications will be accepted until March 12th, 2025. The annual salary for this position is between $88,200 - $139,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Infosys is seeking an Azure and Snowflake Data Engineer. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Candidate must be located within commuting distance of TX/NC or be willing to relocate to the area. This position may require travel in the US Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 6 years of Information Technology experience At least 3 years of Azure experience At least 3 years of Snowflake experience Strong knowledge and hands-on experience in SQL, Unix shell scripting, and Python Preferred Qualifications: Experience and desire to work in a global delivery environment Experience in Banking/Financial domain Sound knowledge of software engineering design patterns and practices Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency Experience in large scale cloud data migrations using technologies such as Snowflake, Python, Spark, Databricks Good understanding of Agile software development frameworks Strong communication and Analytical skills Good to have experience AWS Databricks Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. To learn more about Infosys and see our ideas in action please visit us at *************** EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity/National Origin

Special Instructions MUST HAVE: ETL (snaplogic or Informatica), Relational databases (Oracle, PostgreSQL, etc.), NoSQL databases (DynamoDB, Elastic search), Python, AWS, Kafka Description: We are seeking a Full Stack Data Engineer to join our team in our Westlake TX location. The Expertise and Skills You Bring Bachelor's or Master's degree in a technology related field (e.g., Computer Engineering, Computer Science, etc.) Proven track record as a data engineer, crafting new solutions and re-platforming legacy data products Knowledge of how to effectively use multiple types of databases such Relational databases (Oracle, PostgreSQL, etc.), NoSQL databases (DynamoDB, Elastic search) and Graph databases (Neptune, Neo4J, etc.) Hand on experience in data pipelines and ETL/ELT process on AWS using Python, Java, etc. Demonstrated ability to synthesize and analyze data from multiple sources and deriving insights from it Demonstrated experience developing, debugging and tuning complex SQL statements Experience in Kafka Data Streaming (or other streaming/messaging services Kinesis, SNS, SQS) Experience with DevOps or CI/CD Pipelines using Git, Maven, Jenkins, uDeploy, Stash, Ansible, etc. Ability to validate, monitor, and solve issues during development, testing, or in production Proven knowledge of AWS via Associate, Professional, or Specialty Certification(s) a big plus Knowledge on RestfulAPI development and container processing is a plus Excellent communication skills, both through written and verbal channels Ability to work effectively in global teams distributed across geographic locations in an Agile way Excellent facilitation, influencing and negotiation skills Desire and ability to learn and implement new technologies Keen ability to see complex challenges from multiple perspectives, and leaning in to solve independently or with others

Come join Bethesda Game Studios, the award-winning development team behind Starfield, The Elder Scrolls and Fallout. Bethesda Game Studios strives to offer its employees a well-balanced home and work life by providing competitive salaries, a generous benefits program, and offices located in some of North America's best cities. With a goal of creating a culture as fun and diverse as our games and our players, we welcome applicants with unique skillsets, experience levels and backgrounds. If you are passionate about making a meaningful contribution to some of the most significant games in the industry we'd love to hear from you! Responsibilities Your Daily Life at Bethesda Game Studios As Senior Gameplay Programmer, you will… * Collaborate on the implementation of new gameplay features: player and characters' behaviors, combat and powers mechanics, player movement systems, user interface, etc. * Work closely with designers, artists, and other programmers to iterate on gameplay features and ensure a great player experience * Develop and own full aspects of the game experience * Collaborate with other members of the programmers' team to build sustainable and maintainable technologies and optimized code on all platforms Qualifications What Makes You S.P.E.C.I.A.L. * You have 5+ years of experience as a Gameplay Programmer with at least 1 shipped AAA title * You are proficient with C++ and object-oriented programming * You have demonstrable experience of networking game features and awareness of the complexities of networked gameplay (replication of state, behaviors, client/server breakdown of features and game systems) * You have development experience on current gen game consoles * You have the ability to contribute innovative and original ideas towards all aspects of game production and development * You possess strong communication and organizational skills * You work well under pressure and can handle multiple tasks * You have a passion for making GREAT games * You have experience playing Bethesda Game Studios games Salary Range Senior Gameplay Programmer - The typical base pay range for this position at the start of employment is expected to be between $100,000 - $215,000 per year. ZeniMax has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets. The range above reflects the potential base pay across the U.S. for this role; the applicable base pay range will depend on what ultimately is determined to be the candidate's primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time. At ZeniMax certain roles are eligible for additional rewards, such as merit increases and discretionary bonuses. These awards are allocated based on individual performance and are not guaranteed. Benefits/perks listed here may vary depending on the nature of employment with ZeniMax and the country work location. U.S.-based employees have access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid vacation time, paid sick and mental health time, and several paid holidays, among others. This position is in a union and represented by the Communication Workers of America. Applicant Privacy Notice ZeniMax Media California Applicant Privacy Notice E-Verification Notice IER_Right_to_Work_Poster E-Verify_Participation_Poster