Senior Analytics Engineer

Rockstargames

New York (NY)

On-site

USD 140,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Full range of medical benefits
Financial and equity awards

Job summary

Rockstar Games is looking for a skilled Senior Analytics Engineer to join their NYC team. This full-time position involves collaborating with Data Scientists and engineers to create reliable data workflows and systems. Candidates should have significant experience in analytics and data engineering, with a focus on Python and SQL.

The role offers competitive compensation, with salary expectations between $140,000 – $175,000 annually, and comes with a comprehensive benefits package.

Qualifications

  • 5+ years of experience in analytics engineering or data engineering.
  • Extensive experience with advanced SQL queries.
  • Proven track record in building large-scale data systems.

Responsibilities

  • Partner with Data Scientists to design data workflows.
  • Collaborate with Data Engineering team on scalable data models.
  • Monitor and optimize data systems for reliability.

Skills

Python
SQL
PySpark
Data Modeling
CI/CD

Education

Bachelor’s degree in Computer Science, Mathematics, or related field

Tools

Databricks
Azure
Terraform
Github
Airflow

Job 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 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
  • 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.
EEO STATEMENT

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 encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

COMPENSATION

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 $140,000 – $175,000 USD per year. The 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, the 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.

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