Senior Data Engineer

2 Months ago • 6 Years + • Data Analysis • $121,400 PA - $161,800 PA

Job Summary

Job Description

Rockstar Games is seeking a Senior Data Engineer to build a cutting-edge game analytics platform. The role involves developing and maintaining real-time and batch data models, designing and optimizing data architecture for scalability and reliability, delivering data models to analysts and data scientists, assisting in deployment automation, and contributing to a big data platform using technologies like Spark and Airflow. The engineer will also set standards for warehouse and schema design, identify opportunities for process improvement, and provide technical guidance to the Data Engineering team. This position is based in Carlsbad, CA.
Must have:
  • 6+ years of data pipeline design experience.
  • 4+ years experience with Python.
  • 4+ years experience with Spark.
  • Expert in at least one SQL language.
Good to have:
  • Experience with Databricks.
  • Experience with data warehouses and infrastructure.
  • Experience with CI/CD.

Job Details

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 is seeking a Senior 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.  

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. 

This is a full-time, in-office position based out of Rockstar’s new state-of-the-art game development studio in Carlsbad, CA.

WHAT WE DO  

  • The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.  

RESPONSIBILITIES  

  • Implement and maintain real-time and batch Data Models. 
  • Play a key role in designing and optimizing the overall data architecture, ensuring scalability, reliability, and performance. 
  • Deliver real-time and non-real-time data models to Analysts and Data Scientists who create insights and applications for our stakeholders. 
  • Assist in the development of deployment automation and operational support strategies. 
  • Assist in the development of a big data platform in Databricks 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 Databricks (Spark) and Snowflake while collaborating with Analysts and Data Scientists in the creation of efficient data models. 
  • Identify opportunities for process improvement and best practices in data engineering and contribute to the development and implementation of new methodologies. 
  • Maintain and extend our CI/CD processes and documentation. 
  • Provide technical guidance and leadership to the Data Engineering team, including mentoring junior Engineers. 

QUALIFICATIONS  

  • 6+ years of work experience with designing and development of modern data pipelines within a major cloud platform (GCP, AWS, Azure). 
  • 4+ years of experience with Python (or a comparable scripting language).  
  • 4+ years of experience with Spark.  
  • 2+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management. 
  • Expert in at least one SQL language.  
  • Experience developing and managing data warehouses on a terabyte or petabyte scale. 
  • Strong experience in massively parallel processing. 
  • Experience building Real-Time and/or Near-Real-Time data pipelines. 
  • Good Understanding of Big Data and cloud architecture. 

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 Databricks.  
  • Experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components. 
  • Deployment/scaling of apps on containerized environment (i.e., Kubernetes, AKS). 
  • Experience with Java or Scala.  
  • Experience with Jupyter Notebooks.  
  • Experience in Lambda data ingestion architecture.  
  • Experience with CI/CD.  
  • Familiar with Restful APIs. 
  • Experience with Artifact Repositories. 
  • Knowledge of the video game industry. 
  • Experience in Machine Learning pipelines and popular libraries.  

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. 

The pay range for this position in San Diego 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. 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, 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.

 

*San Diego Base Pay Range
$121,400$161,800 USD

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