Senior Analytics 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 Games is on the lookout for a skilled Senior Analytics Engineer with strong software development skills who is passionate about games and big data. 

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

WHAT WE DO 

• The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. 
• We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games. 
• We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications. 
• The Analytics Architecture vertical within the Analytics team is tasked with building out high impact data models and internal tooling to support the wider Analytics team. 

RESPONSIBILITIES 

• Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team.
• Collaborate with the Data Engineering team to design, develop and maintain scalable data models and pipelines.
• Monitor performance and optimize data systems for high performance and reliability. 
• Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes.   
• Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes. 
• Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.  
• Contribute to the establishment of best practices including code standards, version control, documentation, testing, and review processes. 
• Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus, etc. 
• Define and implement monitoring and alerting policies for data solutions.  

REQUIREMENTS 

• 5+ years of experience in analytics engineering or data engineering Python and PySpark.  
• 5+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries. 
• Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background. 
• Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure. 
• Experience working in Databricks & Azure environment (or other cloud equivalents).   
• Experience working with pipeline scheduling tools such as Airflow & Astronomer. 
• Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus. 
• Ability to push the frontier of technology and freely pursue better alternatives. 

PLUSES 

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

• Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations. 
• Streaming or NRT modeling experience. 
• Passion for technical mentorship.  

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet