Design and build systems that power both the storage and retrieval of analytical data
Own the transformation layer that models data for fast, consistent metric queries
Define and maintain the metrics layer that supports dashboards, exports, APIs, and internal tools
Collaborate with product, infrastructure, and Assist teams to build rich reporting experiences—like helping customers measure ROI on AI adoption
Manage scalable pipelines that move and transform production data for analysis
Instrument observability into the data platform, including freshness, lineage, and correctness

Have experience working with modern data warehouses (e.g., Snowflake, BigQuery) and understand their performance characteristics
Have built or maintained end-to-end ELT pipelines and are comfortable choosing the right level of precomputation
Have designed or worked closely with a metrics or semantic layer, and understand how to define metrics that are consistent, queryable, and performant across reporting surfaces
Are comfortable reasoning about systems tradeoffs—latency, cost, developer velocity, and reliability
Take pride in building systems that are clear, maintainable, and empower others
Have strong SQL fluency and are comfortable reading query plans, debugging slow queries, and optimizing for performance

Generous medical, dental, and vision benefits
Paid company holidays, sick time, and unlimited time off
Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting
Paid parental leave
Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices
401(k) plan enrollment

Software Engineer – Data Infrastructure

Key skills