Senior Data Engineer at Rockstar Games

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

161800.0

Posted On

23 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, Spark, SQL, Data Pipelines, Machine Learning, Azure, Databricks, Airflow, Testing, Code Review, Data Models, Collaboration, Mentoring, Real-Time Data, Communication

Industry

Computer Games

Description

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is seeking a Senior Data Engineer to join a team building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience across our titles. The ideal candidate will be skilled in developing complex ingestions and transformation processes with an emphasis on reliability and performance. In collaboration with other Data Engineers, Machine Learning Engineers, and Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications across the company. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. WHAT WE DO The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making. We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements. RESPONSIBILITIES Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools. Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation. Architect Data Models for massive-scale MPP engines (Databricks/Spark, SQL, Snowflake) that balance performance, maintainability, and analytical flexibility. Collaborate with Data Scientists, Analysts, and ML Engineers to gather requirements, understand use cases, and deliver reliable data products. Identify and implement improvements to our data platform, pipelines, and development processes with autonomy to POC new approaches and technologies. Mentor, elevate, and learn with the team by sharing insights, maintaining documentation, and establishing engineering best practices. Own projects end-to-end, from gathering requirements and technical design through implementation, testing, and production support. REQUIREMENTS 5+ years of work experience with designing and development of modern data pipelines. 4+ years of experience with Python for data engineering (building maintainable, testable code) and Spark for large-scale data processing. Strong software engineering fundamentals – design patterns, testing strategies (unit, integration) code review practices, system design thinking. Expert-level SQL and deep understanding of query optimization, data structures, and performance tuning. Track record of building and optimizing terabyte or petabyte-scale data warehouses. Ability to work independently on loosely-defined projects – gathering requirements, making architectural decisions, and following through completion. Experience building Real-Time and/or Near-Real-Time data pipelines. Outstanding communication and interpersonal skills, including the ability to tailor communication style to technical and non-technical audiences. PLUSES Please note that these are desirable skills and are not required to apply for the position. Databricks platform experience (Delta Lake, Unity Catalog, Workflows). Experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components. Containerization and orchestration (Docker, Kubernetes). Experience with Java or Scala. Experience with CI/CD (TeamCity, Octopus). RESTful API design, usage, and consumption. Gaming industry experience or passion for games. Experience in Machine Learning pipelines and popular libraries. ADDITIONAL INFORMATION HOW TO APPLY Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. #LI- The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors. *NY Base Pay Range $121,400—$161,800 USD

Responsibilities

Design, build, and own real-time and batch data pipelines in Azure Databricks. Collaborate with Data Scientists, Analysts, and ML Engineers to deliver reliable data products.