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Senior Data Engineer (Remote)

  • Location: Boston, Massachusetts
  • Type: Direct Hire
  • Job #3156

Our partner's data team is building out data on social determinants of health and the impact of social needs on healthcare outcomes and spending.  They will combine the results of the work of their care navigators across the country with potentially hundreds of data sources, from public government data sets to private health care claims records.  They need help in building a data platform that can scale along with fast-growing data to empower many different teams across our organization.


  • Help them architect our new data pipeline for scale so that we can make sure to deliver the right social services to the right people
  • Put in place the right tools for every department (from Data Science to Clinical Operations) to be able to get insights from our unique social determinants of health dataset
  • Pursue high-standard engineering principles to build a scalable, reliable, and maintainable data platform
  • Supporting and working with cross-functional teams in a dynamic environment


  • Experience with:
    • architecting, implementing, and maintaining cloud-based modern data pipelines
    • Amazon Redshift, Databricks, Snowflake, or other similar technologies
    • dbt, Apache Airflow, Great Expectations, or other similar technologies
  • Must enjoy working in a collaborative working style. 

Nice to haves:

  • Experience with:
    • managing  insurance claims data
    • managing  Personally Identifiable Information (PII) or Protected Health Information (PHI)
    • building and deploying Machine Learning models
  • Familiarity with Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM)


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