Staff Data Engineer

Join our team as a Staff Data Engineer and play a key role in transforming the collecting experience through technology. In this hands-on role, you will own the architecture and reliability of our data platform, set the technical bar for the engineering team, and build the foundations for our analytics, reporting, and AI agents. You will report to the Staff Manager, Data Engineering & Analytics, and have the option to work remotely or in a hybrid setting.

• Architect the data platform, ensuring scalability, reliability, security, and longevity.
• Lead design reviews, code reviews, and mentorship to elevate the quality and rigor of the engineering team.
• Drive the evolution of the warehouse architecture, leading hands-on POCs on lakehouse patterns and alternative query engines.
• An expert in the modern data stack. You have deep, hands-on experience with cloud data warehousing (BigQuery or equivalent), dbt, and modern ingestion tooling — and strong opinions, loosely held, about when to buy versus build
• Governance-minded without being risk-averse. You know how to design access controls, auditability, and data-quality safeguards that earn trust in the numbers without slowing the team down
• Technically fluent and a clear communicator. You're expert in SQL and Python, deeply comfortable with version control, CI/CD, and testing workflows, and able to explain technical decisions to audiences from individual contributors to executive leadership
• A seasoned data engineer with 8+ years building data platforms and pipelines in production, with a track record of technical leadership at the staff or senior level
• Fluent in AI-assisted development. You have real experience developing with Claude Code or a similar coding agent, and you treat it as a core part of how modern engineering gets done rather than a novelty
• A systems thinker. You design for scale, failure, and change — and you can articulate the trade-offs between architectural options clearly, in writing and in person
• A forward-thinking architect. You stay ahead of where the data stack is heading, with well-reasoned views on lakehouse patterns and query engines that you test through hands-on work
• Cloud-infrastructure fluent. You work comfortably beyond the data warehouse, managing serverless compute, storage, and secrets on a major cloud platform like GCP or AWS
• Reliability-obsessed. You believe pipelines should be tested, observable, and boring — and you've built the tooling and practices to make that true on teams you've worked with
• A force multiplier. You raise the bar for those around you through mentorship, review, and example, and you're energized by making other engineers better