Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others).
Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack.
Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem.
Improve performance, reliability, and observability of metric query execution at scale.
Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements.
Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships.
Mentor other engineers through code review, pairing, and technical guidance.

Strong professional software engineering experience, with a strong track record of shipping production systems.
Deep proficiency in Python, including modern typing, testing practices, and packaging.
Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries.
Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines.
Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility.
Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members.
Experience collaborating in a distributed, asynchronous team environment.

Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support.

Staff Software Engineer – Semantic Layer

Key skills