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Evidation Health

Collects and analyzes person-generated health data

Senior Staff / Staff / Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSanta Barbara, CA, USAIn-person

About the Job

Requirements

  • At least 8 years of experience building and operating production data systems, including recent Staff-level individual-contributor 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 or Dagster, streaming platforms such as Kafka or Kinesis, and database change data capture.
  • Expert-level SQL and proficiency in Python or Scala, including tests and continuous integration for data code.
  • Cloud infrastructure experience with S3 and Kubernetes or EKS, and infrastructure as code with Terraform or Pulumi.
  • Experience with data visualization tools such as Streamlit, Tableau, or Looker, and reporting automation.

Responsibilities

  • Provide technical leadership and mentorship; participate in architecture and design reviews and drive cross-team initiatives.
  • Help architect and evolve the ELT platform at scale, including change data capture and ingestion, orchestration, transformation, runtime and operations model, and data export.
  • Integrate healthcare data sources, including EHR/FHIR, labs, genomics, wearables, and 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 through copilot, code-generation templates, agents, automated data documentation and dictionaries, and AI-assisted data-quality triage.
  • Partner with stakeholders to translate business and technical requirements into scalable data solutions.

Desired Qualifications

  • Deep Snowflake expertise, including micropartitions, clustering, and cost optimization.
  • Experience integrating healthcare or regulated data sources, including EHR, FHIR, HL7, wearable, or partner datasets such as Datavant.
  • Experience scaling dbt and managing enterprise data-testing frameworks.
  • Familiarity with vector databases, large language models, and retrieval-augmented generation or LLMOps pipelines.
  • Experience delivering with AI-powered data engineering tools, including copilot, sandboxes, and automated documentation.

About the Company

Evidation Health

Collects and analyzes person-generated health data

Evidation Health collects person-generated health data from daily activities like exercise, diet, and sleep with user consent and uses it to generate health insights and support research for providers, researchers, and organizations. The platform gathers data from digital devices and apps, then analyzes it to help design personalized health programs or run studies. It differentiates itself by centering explicit consent, focusing on real-world data from everyday life, and building a large, diverse dataset across many partnerships to turn data into practical health programs. Its goal is to improve health outcomes by turning consented real-world data into actionable insights and proactive health initiatives.

Company size
51-200
Company stage
Series E
Total funding
$249.7M
Headquarters
San Mateo, CA
Founded
2012

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