About the Role
Rockstar Games creates world-class entertainment experiences and seeks a skilled Senior Analytics Engineer passionate about games and big data. The Analytics team provides insights and actionable results to stakeholders, partnering across departments to leverage analytics for game success and health. The Analytics Architecture vertical within the Analytics team builds high-impact data models and internal tooling to support the wider Analytics team.
Responsibilities
- Partner with Data Scientists and business stakeholders to translate analytical needs 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, ensuring production data meets SLAs for key stakeholders and business processes.
- Perform timely Root Cause Analysis to troubleshoot data-related issues and assist in implementing code and process fixes.
- Provide thought leadership and collaborate with team members to scale architecture for future needs.
- Contribute to establishing 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 using advanced SQL queries (analytical functions) and optimizing highly efficient SQL queries.
- Bachelor’s degree or equivalent in an engineering or technical field such 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.
Skills
- Python
- PySpark
- Advanced SQL queries
- SQL query optimization
- Large-scale data systems
- Analytics infrastructure
- Databricks
- Azure
- Airflow
- Astronomer
- TeamCity
- Terraform
- Github
- Octopus
- Software coding practices across the development lifecycle
- Agile methodologies
- Coding standards
- Code reviews
- Source management
- Build processes
- Testing
- Operations
- Streaming modeling
- NRT modeling
- Technical mentorship
Location
- Downtown Manhattan, NYC
- In-office
Work Type
- Full-time
- Onsite
Experience Level
- 5+ years of experience in analytics engineering or data engineering
- 5+ years of hands-on experience in using advanced SQL queries
Education Level
- Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background
Salary/Compensations
- $140,000—$175,000 USD
Benefits
- Bonus
- Equity awards
- Full range of medical benefits
- Full range of financial benefits
- Other benefits
About the Company
- Rockstar Games creates world-class entertainment experiences.
- The company offers an inclusive, highly-motivated environment for large-scale creative projects, fostering learning and collaboration with talented industry professionals.
Equal Opportunity
- Rockstar is committed to equal opportunity, dignity, and respect, providing reasonable accommodations for qualified applicants and employees with disabilities.
- Applications are encouraged from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
