Data Engineer
Employment Information
Job Description
Data Engineer responsible for designing and operating data pipelines on GCP for healthcare diagnostics. Collaborating with multi-disciplinary teams to ensure data quality and accessibility.
Responsibilities:
- Designing and operating ingestion, transformation, and replication pipelines on GCP
- Managing orchestration and streamlining ELT/ETL workflows (e.g., Temporal)
- Creating clean, scalable, analytics-ready schemas in BigQuery
- Implementing monitoring, alerting, testing, and observability across data flows
- Integrating data from APIs, operational databases, and unstructured sources
- Collaborating with product, engineering, analytics, and compliance on secure, high-quality data delivery
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
- Nice to have: Experience with HIPAA/PHI or regulated healthcare data
Benefits:
- Generous early stage options (extended exercise post 2 years employment)
- Regular in person offsites, last were in Morocco and Tenerife
- 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
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