Senior Analytics Engineer

jobr.pro; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Inclusive work environment

Equal opportunity policies

Reasonable accommodations for disabilities

Job summary

Rockstar Games is seeking a Senior Analytics Engineer in NYC. The role entails collaborating with teams to develop scalable data models, optimizing performance and ensuring data quality in a dynamic environment.

The ideal candidate has 5+ years in analytics engineering, strong with Python, SQL, and cloud technologies. Rockstar is committed to diversity and equal opportunity in a vibrant workplace.

Qualifications

• 5+ years of experience in analytics engineering or data engineering.
• Experience with Python and PySpark.
• Ability to write and optimize advanced SQL queries.
• Proven track record in building and monitoring data systems.

Responsibilities

• Partner with data scientists to understand analytics needs.
• Collaborate to design scalable data models and workflows.
• Monitor and optimize data systems for performance.
• Contribute to CI/CD processes for data solutions.

Skills

Python

PySpark

SQL

Data Engineering

CI/CD

Terraform

Azure

Data Integrity

Education

Bachelor's degree in Computer Science, Mathematics, Statistics or equivalent

Tools

Databricks

Airflow

Github

TeamCity

Octopus

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.

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

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 the range below* per year. However, 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.