About the roleProvide technical leadership across Data Engineering in a healthcare data environment. This role combines deep technical expertise with strong leadership and communication skills to influence direction across teams. The Staff Data Engineer acts as a trusted technical partner to internal and external stakeholders, guiding architectural decisions, mentoring peers, and ensuring delivery of customer-facing data solutions that create measurable business impact. Success in this role requires balancing strategic vision with hands-on execution, translating complex requirements into scalable, maintainable systems while fostering collaboration and alignment across Product, Data Science, and Engineering teams.
What you'll do- Provide technical leadership and mentorship; participate in architecture/design reviews and drive cross-team initiatives.
- Help architect and evolve the ELT platform at scale: CDC/ingest, orchestration, transformation, runtime/ops model, and data export.
- Integrate healthcare data sources (EHR/FHIR, labs, genomics, wearables, claims) with strong data governance.
- Build and maintain secure, high-quality data pipelines and customer-facing data products.
- Partner with Data Science to design and operationalize feature pipelines, model inputs, serving, and monitoring.
- Deliver AI/ML platform capabilities including feature stores, model hosting, monitoring, and retrieval workflows.
- Lead AI adoption across Data Engineering: copilot, codegen templates, agents, automated data documentation/dictionary, and AI-assisted data quality triage.
- Partner with stakeholders to translate business and technical requirements into scalable data solutions.
Qualifications- 8+ years building and operating production data systems; recent Staff-level IC experience.
- Proven technical leadership across architecture, design, and cross-functional delivery.
- Strong background in data engineering
- Hands-on experience with AWS, Snowflake, DBT, Airflow/Prefect/Dagster, and streaming platforms (Kafka, Kinesis) and database CDC.
- Expert-level SQL and proficiency in Python/Scala with tests/CI for data code.
- Cloud infrastructure experience (S3, Kubernetes/EKS) and IaC (Terraform/Pulumi).
- Experience with data visualization tools (Streamlit, Tableau, Looker) and reporting automation.
Preferred Qualifications- Deep Snowflake expertise (micropartitions, clustering, cost optimization).
- Experience integrating healthcare or regulated data sources (EHR, FHIR, HL7, wearable, or partner datasets such as Datavant).
- Experience scaling dbt and managing enterprise data testing frameworks.
- Familiarity with vector databases, LLMs, and RAG/LLMOps pipelines.
- Experience delivering using AI-powered data engineering tools (copilot, sandboxes, automated documentation).
*This job description outlines primary duties and requirements and is not intended to identify all tasks that may be performed; individuals occupying the position may be required to perform other duties. The company may modify job duties from time to time, either in practice or in writing.
The compensation for this full-time position includes salary + bonus + equity + benefits. The actual starting pay will be based on job-related factors, including work location, experience, training, and skill level, so pay for this role may be higher or lower than what is shown on this posting.
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The pay range for this role is:
140,000 - 350,000 USD per year (Santa Barbara)
