Staff Data Engineer: Health Data Platform & AI

Evidation; Santa Barbara (CA); On-site; USD 140,000 - 350,000; Full time

Job summary

Evidation seeks a Staff Data Engineer to provide technical leadership across Data Engineering in a healthcare data environment. You’ll guide architectural decisions, mentor peers, and deliver customer-facing data solutions that create measurable business impact.

Role balances strategic vision with hands-on execution, translating complex requirements into scalable, maintainable systems while aligning Product, Data Science, and Engineering teams.

Qualifications

• 8+ years building and operating production data systems; recent Staff-level IC experience.

Responsibilities

• Provide technical leadership across Data Engineering; participate in architecture/design reviews and drive cross-team initiatives.
• 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.

Skills

Staff-level IC

Technical leadership

AWS

Snowflake

DBT

Airflow/Prefect/Dagster

Kafka/Kinesis

SQL

Python/Scala

Terraform/Pulumi

Data visualization

Tools

AWS

Snowflake

DBT

Airflow

Kafka

Kinesis

Tableau

Looker

Streamlit

Kubernetes

Terraform

Pulumi

Job description

Evidation seeks a Staff Data Engineer to provide technical leadership across Data Engineering in a healthcare data environment. You’ll guide architectural decisions, mentor peers, and deliver customer-facing data solutions that create measurable business impact.

Role balances strategic vision with hands-on execution, translating complex requirements into scalable, maintainable systems while aligning Product, Data Science, and Engineering teams.