Staff Data Engineer

Prefect builds and operates resilient, Pythonic orchestration and MCP platforms -- Prefect OSS, Prefect Cloud, FastMCP OSS, and Horizon -- used for mission-critical workloads. Our Vision: Prefect will define automation for the context era. Our Mission: Curate an intelligent context layer that delivers the right information at the right time. About Prefect Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents. In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world. We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing perso [... source excerpt omitted ...] mmary Prefect and Dagster merged in 2026, and we're consolidating two data stacks onto one: Snowflake as the warehouse, Dagster as the orchestrator, dogfooded on our own product. You'll take over our existing internal data platform, land the migrated stack at cutover, and own it end to end from there. You own finding and deciding requirements, setting the roadmap, and working directly with stakeholders across orgs. Part of our platform is open source (dagster-open-platform) and your work is a public reference implementation of our own product. You’ll report to Jenny, our Head of Engineering. What You'll Do Own the internal data platform end to end: Snowflake architecture, si [... source excerpt omitted ...] ineering on SLA-carrying pipelines (billing, consumption pricing) where engineering retains ownership Live in Dagster daily and feed what you learn back to the product team Your Qualifications Staff-level data platform experience - you set architecture across orgs and work through stakeholders independently Deep production experience with dbt and a modern cloud warehouse Experience with a modern orchestrator and experience with Dagster is a plus Hands-on with managed ingestion and reverse ETL tooling Self-directed and able to turn ambiguous business asks into scoped, prioritized work Comfortable working in the open on a public codebase What You'll Get in Return: Base Salary R