Senior Data Engineer
Troy, Michigan, United StatesAll locationsTroy, Michigan, United StatesRemote, United States Remote
$135,000–$195,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As a hands-on Senior Data Engineer on a small team, you will build and scale the data platform driving Protera's clinical operations, payer reporting, and analytics. This is a senior individual contributor role reporting to the President. In this role, you will collaborate cross-functionally with clinical, technology, finance, and compliance teams. This role is 100% hands-on; you are expected to be the full technical lead for your domain, not one of several engineers on a layered team. We are seeking a highly capable data engineer with a specialized background in healthcare data and claims processing. In this role, you will lead the development and day-to-day function of the data platform supporting our clinical, business intelligence, and artificial intelligence operations. This is a hands-on, full-stack data role; your responsibilities will span constructing data pipelines, developing and maintaining backend architecture, and integrating modern AI-driven development tools. Experience with production Python, Terraform, GCP infrastructure, CI/CD, and pipeline observability are required. We are looking for someone with deep expertise with PHI and Healthcare claims data. We encourage the responsible use of AI development tools but strictly prohibit inputting PHI. You will champion the safe AI principles fundamental to our engineering culture.
What you'll bring
- 5+ years in data engineering, analytics engineering, or a hybrid backend/data role.
- Bachelor’s in Computer Science or a related field or equivalent experience.
- Ability to write, test, debug, ship production code, and utilize structured logging and dependency management.
- Demonstrated experience working with healthcare claims data
- Deep expertise in production data pipelines, window functions, CTEs, and query/cost optimization for large tables.
- Hands-on experience with BigQuery, Cloud Storage, Cloud SQL, Compute Engine, Functions, Logging/Monitoring, Secret Manager, and IAM.
- Production experience encompassing schema design, indexing, and diagnosing slow queries.
- Experience with modern orchestrators (Mage, Airflow, Dagster, dbt) and BI layers (Looker Studio, Power BI, semantic modeling).
- Demonstrated care handling sensitive data in regulated environments, paired with sound judgment regarding when (and when not) to use AI-assisted coding tools.
- Beneficial Experience
- Proven success thriving in fast-paced, lean environments with high autonomy and end-to-end ownership of technical outcomes.
- A "lifelong learner" mindset with the ability to evaluate and responsibly integrate emerging data technologies.