At Rockstar Games, we create world-class entertainment experiences.

A career at Rockstar Games is about being part of a team working on some of the most creatively rewarding and ambitious projects to be found in any entertainment medium. You would be welcomed to a dedicated and inclusive environment where you can learn, and collaborate with some of the most talented people in the industry.

Rockstar is seeking a 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. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

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.

WHAT WE DO

• The Rockstar Analytics team provide insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
• We are currently adding team members to multiple verticals including; Machine Learning and Game Data Pipeline.

RESPONSIBILITIES

• Implement and maintain real-time and batch Data Models.
• Deliver real-time and non-real-time data models to analysts and data scientists who create insights and analytics applications for our stakeholders.
• Implement and support streaming technologies such as Kafka, Spark, Cassandra & AzureML.
• Assist in the development of deployment automation and operational support strategies.
• Assist in the development of a big data platform in Hadoop 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 Hadoop and Snowflake while collaborating with analysts and data scientist in the creation of efficient data models.
• Maintain and extend our CI/CD processes and documentation.

QUALIFICATIONS

• 3+ years of work experience with data modeling, business intelligence and machine learning on big data architectures.
• 2+ years of experience with the Hadoop ecosystem (HDFS, Spark, Oozie, Impala, etc.) and big data ecosystems (Kafka, Cassandra, etc.).
• 2+ years of experience with the Azure ecosystem (Azure ML, Azure Data Factory) 
• Expert in at least one SQL language such as T-SQL or PL/SQL.
• 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 ML pipelines.
• Experience with Python, Scala, or Java.
• Experience with shell scripting.
• 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 Python based libraries such as Scikit-Learn 
• Experience with Databricks
• Experience with Spark-ML, Jupyter Notebook, AzureML.
• Experience in Lambda architecture.
• Experience with CI/CD.
• Familiar with Restful APIs.
• Experience with Artifact Repositories.
• Knowledge of the video game industry.

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.