Senior Finance Data Engineer
About The Position
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 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.
Requirements
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Industry
Administrative and Support Services
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
