Senior Finance Data Engineer

About Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

The Role

The Data Engineering team at Roblox plays a fundamental role in enabling the company's success by developing and maintaining highly leveraged Core Data Sets, frameworks, and tooling to support the growing demand for analytics.

As a Senior Finance Data Engineer, you will work to define the data ontology for all of Roblox, establish standard methodologies for data operations and lifecycle management, design and build analytics tooling and frameworks, and influence event instrumentation. Additionally, this role is highly multi-functional, requiring close collaboration with Data Science, Experimentation, and Machine Learning teams to understand customer requirements and analytics applications, as well as with Data Infrastructure and Storage teams to develop integrated solutions.

Join us and be a part of a dynamic team driving innovation and growth at Roblox.

This role will report to our Engineering Manager on the Data Engineering team.

What You Will Do

• Partner with Data Science, Product, and Engineering to collect requirements to define the data ontology for all of Roblox
• Lead and mentor a growing team of Data Engineers to support Roblox's ever-evolving data needs
• Design, build, and maintain efficient and reliable batch and streaming data pipelines to populate core data sets
• Develop scalable frameworks and tooling to automate analytics workflows and streamline users interactions with data products
• Establish and promote standard methodologies for data operations and lifecycle management

What You Have

• 8+ years of professional experience working building scalable ETL pipelines on industry standard ETL orchestration tools (Airflow, Dagster, Luigi, Google Cloud Composer, etc.) with deep expertise in SQL, PySpark, or Scala.
• 3+ years leading data engineering development directly with business or data science partners
• Built, scaled, and maintained Multi-Terabyte data sets and have an expansive toolbox for debugging and unblocking large scale analytics challenges (skew mitigation, sampling strategies, accumulation patterns, data sketches, etc.)
• Experience with at least one major cloud's suite of offerings (AWS, GCP, Azure).
• Developed or enhanced ETL orchestrations tools or frameworks
• Worked within standard GitOps workflow (branch and merge, PRs, CI / CD systems)
• Experience working with GDPR

Key skills/competency

• Data Ontology
• ETL Pipeline Development
• Batch Data Processing
• Streaming Data Processing
• Data Governance
• Data Lifecycle Management
• Cloud Platforms (AWS, GCP, Azure)
• SQL
• PySpark/Scala
• GitOps