Note: The job is a remote job and is open to candidates in USA. Evidation creates digital health measurement and engagement solutions that use real-world data, data science, and machine learning to improve healthcare. The Staff Data Engineer will provide technical leadership in a healthcare data environment, architect scalable data platforms and pipelines, integrate governed healthcare data sources, and deliver customer-facing data and AI/ML solutions while partnering across Engineering, Product, and Data Science.
Responsibilities
- 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
Skills
- 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
- 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)
Benefits
- Bonus
- Equity
Company Overview
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