Remote Senior Data Engineer

Posted 2 hours ago

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Description:

  • Design, build, and operate data infrastructure for a clinical trial design platform.
  • Own pipelines for ingesting, parsing, transforming, and serving clinical data from various sources.
  • Develop embedding and vectorization pipelines for LangGraph-based workflows.
  • Implement ETL/ELT workflows for transforming unstructured clinical content into queryable data.
  • Ensure data quality validation specific to clinical data.
  • Build data serving APIs using Python/FastAPI.
  • Set up data lineage tracking for regulatory traceability.

Requirements:

  • Strong Python development experience, including PDF/document parsing libraries.
  • Advanced SQL skills, particularly with Amazon Aurora; experience with schema design and query optimization.
  • Hands-on experience with graph databases like Neptune or Neo4j; proficiency in SPARQL or Cypher.
  • Familiarity with AWS services for data pipeline orchestration.
  • Experience with PDF text extraction and named entity recognition for clinical text.
  • Experience building data-serving APIs using FastAPI.
  • Knowledge of preparing data for LangChain/LangGraph applications.
  • Experience with workflow orchestration tools like Airflow or Prefect.
  • Familiarity with Terraform, Docker, and Git for automated testing and deployment.
  • Understanding of clinical trial structure and regulatory data integrity requirements.

Benefits:

  • Competitive compensation package including vacation, medical, dental, and vision insurance.
  • 401k with company matching and life insurance.
  • Flexible spending accounts.
  • Opportunity to work in a curious and science-focused culture.

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