Data Engineer

Join Function as a Data Engineer and help build a platform that empowers subject matter experts to make data changes themselves. You'll work on tracking infrastructure, data processing infrastructure, and ML infrastructure, all with the goal of making the safe path the fast path. You'll also have the opportunity to design interfaces and schemas, build internal platforms, and operate production data or ML systems. Benefits include health insurance, flexible holidays, and a 401k match.

• Concevoir des interfaces et des schémas qui sont utilisés par d'autres équipes, puis les faire évoluer sans les casser.
• Construire une plateforme interne ou une infrastructure que d'autres ingénieurs adoptent réellement.
• Réfléchir sérieusement aux tests et à l'intégration continue pour les données ou l'apprentissage automatique.

• Designed interfaces and schemas that other teams depend on, then evolved them without breaking those teams
• Built internal platform or infrastructure that other engineers actually adopted. You've felt the difference between shipping a tool and getting it used
• Thought hard about testing and CI for data or ML, where correctness is statistical and the failure is often silent
• Operated production data or ML systems, on call for them, and fixed them under pressure
• Strong Python and SQL. Comfortable in a lakehouse – we use Databricks; Snowflake or BigQuery translates fine
• 1-4 years of engineering experience gets you here, but we care about what you've built, not the number
• Declarative pipeline frameworks (dbt, DLT, Dagster, Airflow)
• Streaming (Kafka, Spark Structured Streaming)
• Terraform
• Data contracts, data diffing, or lineage tooling
• Feature stores
• MLOps and eval tooling
• Agentic coding workflows
• Healthcare
• PHI, or HIPAA experience