> Markdown version of [/jobs/ext/1490461-principal-data-engineer-personalization-central-product-insights](https://www.wearedevelopers.com/jobs/ext/1490461-principal-data-engineer-personalization-central-product-insights). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Engineer, Personalization - Central Product Insights - **Company:** Riot Games - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Salary:** $209,900.0 - $293,400.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Adaptable Database Systems, Airflow, Amazon Web Services, Big Data, Cloud Computing, Information Systems, Information Engineering, Data Transformation, Data Systems, Python (Programming Language), Scala (Programming Language), SQL Databases, Data Processing, Apache Spark, Data Layers, Semi-structured Data, Data Management, Databricks, Golang - **Published:** July 29, 2026 - **Apply:** https://www.riotgames.com/en/j/8049834 ## About the Role * 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., * 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! ## 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., * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [WWC24 Talk - Brenda Romero - Stay: Surviving and Thriving in Tech](https://www.wearedevelopers.com/magazine/467-wwc24-talk-brenda-romero-stay-surviving-and-thriving-in-tech) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)