jobapplier

Software Engineer (Data Platform)

Function

Skills

Required

  • ML
  • Python
  • SQL
  • lakehouse
  • Databricks
  • Snowflake
  • BigQuery
  • Declarative pipeline frameworks
  • DLT
  • Dagster
  • Airflow
  • Kafka
  • Spark
  • Terraform

Preferred

  • MLOps
  • eval tooling
  • Agentic coding workflows

Join Function, a company focused on revolutionizing the way data is managed and utilized in the healthcare industry. As a Software Engineer (Data Platform), you will play a crucial role in building a platform that empowers subject matter experts to make changes to data without relying on engineers. You will work on tracking infrastructure, data processing infrastructure, and ML infrastructure, all with the goal of making the safe path the fast path. This is a unique opportunity to make a significant impact in the field of healthcare data management.

Thought hard about testing and CI for data or ML, where correctness is statistical and the failure is often silent

Responsibilities

  • 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
  • Feature stores
  • MLOps and eval tooling
  • Agentic coding workflows

Requirements

  • Built internal platform or infrastructure that other engineers actually adopted. You've felt the difference between shipping a tool and getting it used
  • 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
  • Healthcare
  • PHI, or HIPAA experience