Senior Data Engineer

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 focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games. 

The ideal candidate will be skilled in developing complex ingestion 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 to company stakeholders.

This is a full-time, in-office position based out of Rockstar’s newly renovated game development studio in Andover, MA.

WHAT WE DO 

• The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. 

RESPONSIBILITIES 

• Implement and maintain real-time and batch Data Models.
• Play a key role in designing and optimizing the overall data architecture, ensuring scalability, reliability, and performance.
• Deliver real-time and non-real-time data models to analysts and data scientists who create insights and analytics applications for our stakeholders.
• Assist in the development of deployment automation and operational support strategies.
• Assist in the development of a big data platform in Databricks using pipeline technologies such as Spark, Airflow, and more to support a variety of requirements and applications.
• Set the standards for warehouse and schema design in massively parallel processing engines such as Databricks (Spark) and Snowflake while collaborating with analysts and data scientists in the creation of efficient data models.
• Identify opportunities for process improvement and best practices in data engineering and contribute to the development and implementation of new methodologies.
• Maintain and extend our CI/CD processes and documentation.
• Provide technical guidance and leadership to the data engineering team, including mentoring junior engineers.

QUALIFICATIONS 

• 6+ years of work experience with data modeling and business intelligence on big data architectures. 
• 4+ years of experience with Python. 
• 4+ years of experience with Spark. 
• Expert in at least one SQL language. 
• Experience developing and managing data warehouses on a terabyte or petabyte scale.
• Strong experience in massively parallel processing & columnar databases.
• Experience building Real-Time and/or Near-Real-Time data pipelines.
• Experience working in a Linux environment. 

SKILLS 

• Deep understanding of advanced data warehousing concepts and track record of applying these concepts on the job. 
• Ability to manage numerous projects concurrently and strategically, prioritizing when necessary. 
• Good communication skills. 
• Dynamic team player. 
• A passion for technology. 

PLUSES 

Please note that these are desirable skills and are not required to apply for the position. 

• Experience with Databricks. 
• Experience with Java or Scala. 
• Experience with Jupyter Notebooks. 
• Experience in Lambda data ingestion architecture. 
• Experience with CI/CD. 
• Familiar with Restful APIs.
• Experience with Artifact Repositories.
• Knowledge of the video game industry.
• Experience in Machine Learning pipelines and popular libraries. 

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 proud to be an equal opportunity employer, and we are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities.

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, or race.