We're building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. We're hiring a Data Engineer to shape our data foundation from ingestion through transformation and make it analytics-ready at scale.
Requirements
- Solid engineering fundamentals and experience building pipelines from scratch
- Python and SQL fluency; comfortable across relational + NoSQL systems
- Experience with orchestrators like Temporal, Airflow, or Dagster
- Hands-on with BigQuery, BigTable, and core GCP data tooling
- Ability to turn messy, ambiguous data problems into clear, scalable solutions
- Startup or small-team experience; comfortable moving fast with ownership
- Communication skills, attention to detail, and a bias toward clarity and reliability
Benefits
- Generous early stage options
- Regular in person offsites
- Bi-weekly team happy hours & events remotely
- Monthly learning budget of $300 for personal development/productivity
- Flexible, remote-first working - including $1K for home office equipment
- 25 days off a year + national holidays
- Healthcare cover depending on location
