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Senior Data Engineer

3 weeks ago

Boston, Massachusetts, United States Counsel Health Full time
About Counsel

Counsel's mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we are building an AI-first medical practice from the ground up that automates across the entire clinical stack, allowing our in-house clinicians to provide superhuman medical advice that is near-instant, highly personalized, and always available. We believe that collaborative care models that integrate clinicians and AI are the key to solving global healthcare access challenges.

Since our founding in 2023, we have formed partnerships with leading healthcare organizations, and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $10M from top-tier VC firms and angel investors, positioning us strongly to pursue our ambitious mission for years to come.

Our founding team includes experienced clinical and technology experts who have held senior roles at Harvard Medical School, Massachusetts General Hospital, UCSF, the MIT Media Lab, NVIDIA, and Mount Sinai.

Join us as we build the future of AI in healthcare

About The Role

We are seeking a talented, driven, and experienced Senior Data Engineer to join us in defining the future of AI + human healthcare. This role is fully remote.

You will own and architect the data infrastructure powering our Clinical, AI, Product, and Financial Operations. This role is central to ensuring our platform can scale seamlessly—meeting the demands of large healthcare clients while reliably serving hundreds of thousands of patients. Our culture is fast-paced and ambitious, and we aim for every team member to be exceptional.

What You'll Be Working On

  • Primarily focus on architecting our data infrastructure layer that drives our financial, clinical, and AI applications

  • Build robust batch and streaming ingestion pipelines that unify data from diverse internal and external systems into a consistent, ontology-driven data model

  • Maintain dbt-driven SQL models that unify datasets from our product, integrations, financial operations and clinical data, leveraging ontologies (e.g. SNOMED CT, ICD, HL7 FHIR)

  • Design data pipelines that handle diverse sets of structured (e.g. SQL, APIs) and unstructured (e.g., documents, notes, embeddings) datasets

  • Future-proof the data platform to anticipate and support evolving needs including:

    • AI workflows such as NLP, embeddings, knowledge graphs, and retrieval-augmented generation

    • Financial workflows for accounting tracking and observability

    • Clinical and support workflows that allow non-technical teams to self-service data

Examples of projects you may work on:

  • Build real-time PHI-scrubbed operational dashboards to support clinical and support teams; allowing non-technical users to self-service data using AI-supported tooling

  • Set up change data capture (CDC) to store historical data and allow engineers and analysts to time travel back to a past state of the system

  • Build reverse ETL infrastructure to bring analytically derived data into our core application to drive patient engagement

  • Improve our financial modeling, marketing data analysis, customer acquisition and user retention metrics

  • Analyze our LLM performance & latency metrics and model how this impacts costs, user experience, and potential caching strategies

Requirements

  • 5+ years of experience in data engineering building high-performance data pipelines:

    • Previously pioneered self-service analytics & business intelligence tooling (e.g. Hex, Sigma, Looker) for a diverse set of stakeholders

    • Operational experience with data storage platforms (e.g. Databricks, Iceberg, or Snowflake) and analytical query engines (e.g. Athena or Presto)

    • Managed job orchestration (e.g. Dagster, Airflow) and semantic data modeling (dbt, SQL)

  • 2+ years working in highly regulated industries such as healthcare or financial services:

    • Implemented row-level security and data masking for PHI/PII use cases

  • Deep familiarity with row and columnar data warehouses (e.g. PostgreSQL, BigQuery, Snowflake)

  • Opinionated about data architecture, data modeling, and analytics in a fast-growing environment

You are a great fit if

  • You have hands-on experience architecting data platforms from day 0 in a fast-paced, high-growth environment

  • You've extensively worked with healthcare data and standards (e.g. HL7 FHIR, CDS, ICD-10)

  • You have experience with our tech stack: AWS, Google Cloud, PostgreSQL, FHIR servers

  • You consider yourself a Swiss-army knife data engineer who can flex into both data infrastructure, semantic modeling, and operational analytics

  • You have knowledge of medical statistics and are keen to learn more

  • You're comfortable working across teams on multi-stakeholder projects

  • You thrive on working alongside exceptional teammates and derive energy from collaborative environments