Principal Data Engineer, Personalization - Central Product Insights
Los Angeles, USA
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build, and optimize scalable ETL pipelines for structured and semi-structured data
Design data models that capture in- and out-of-game player experiences
Automate data workflows to cut manual work and speed processing
Mentor data engineers across all levels
Optimize query performance and resolve pipeline bottlenecks
From the employer’s posting
Design, build, and optimize scalable ETL pipelines for structured and semi-structured data
Design and implement data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences
Automate workflows to reduce manual intervention and enhance data processing efficiency
Mentor data engineers across all levels, setting best practices and fostering technical growth.
Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years experience in tech-focused Publishing or Marketing fields.
- 8+ years experience in data engineering or a related field.
- Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt.
- Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
- Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
Preferred experience
- Experience in gaming, large consumer platforms, or systems leading data modernization or transformation initiatives in a complex environment
- Demonstrated ability to influence standards across teams in a matrixed organization
Qualification wording
Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
8+ years experience in tech-focused Publishing or Marketing fields.
8+ years experience in data engineering or a related field.
Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt.
Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
Experience in gaming, large consumer platforms, or systems leading data modernization or transformation initiatives in a complex environment
Demonstrated ability to influence standards across teams in a matrixed organization
Education & alternatives
Required Qualifications: - Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field. - 8+ years experience in tech-focused Publishing or Marketing fields.
Tools in this posting
- Go
- Python
- Scala
- SQL
- AWS
- Databricks
- dbt
- GCP
- Spark
- Airflow
Source — Tool mentions in context
- 8+ years experience in data engineering or a related field. - Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt. - Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
- Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt. - Proficiency in cloud infrastructure (AWS or GCP) and Databricks. - Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
Benefits in the posting
Full benefits wording- Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.
From the employer’s posting.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 91 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 28, 2026 · 91 days ago
- Recorded sightings
- 123
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on www.riotgames.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Riot’s Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience at massive scale. Turning this data into meaningful insights is a complex challenge, and our engineers meet it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide.
As a Principal Data Engineer supporting Riot’s Central Product Insights, you will design, build, and maintain scalable data pipelines and models that power critical data products, including centralized player data models, and publishing activity data systems. These systems support understanding of player onboarding funnels, engagement patterns, support efficiency, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure our data infrastructure is reliable, performant, and directly tied to delivering better player experiences.
Responsibilities:
- Design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, and other publishing/marketing focused data sets.
- Design and implement data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability.
- Architect and implement robust, maintainable, and high-performance data solutions.
- Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
- Mentor data engineers across all levels, setting best practices and fostering technical growth.
- Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
- Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities.
- Support cost optimization by ensuring scalable and efficient data solutions.
- Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
- Contribute to Riot’s Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices
Required Qualifications:
- Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years experience in tech-focused Publishing or Marketing fields.
- 8+ years experience in data engineering or a related field.
- Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt.
- Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
- Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
- Demonstrated ability to work cross-functionally with engineering, analytics, and product teams.
- Proven experience mentoring and guiding other engineers.
Desired Qualifications:
- Experience in gaming, large consumer platforms, or systems leading data modernization or transformation initiatives in a complex environment
- Track record improving data maturity ( e.g. SLI’s/SLO governance, reliability standards) Experience designing semantic layers or standardized business metric frameworks
- Background supporting advanced analytics use cases in high velocity product environments
- Demonstrated ability to influence standards across teams in a matrixed organization
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.
At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
- Safeguarding confidential and sensitive Company data
- Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
- Accessing Company assets, secure digital systems, and networks
- Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
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- Location & working pattern
Los Angeles, USA
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