Senior Data Engineer

Counsel Health • Boston, MA

41d • Remote

About The Position

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.

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

Nice To Haves

• 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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees