Counsel Health · 3 hours ago
Senior Data Engineer
United States
Full-time
Remote
Senior Level
5+ years expCounsel Health is an AI-enabled, physician-supervised virtual care company on a mission to multiply the world’s clinical capacity. They are seeking a talented and experienced Senior Data Engineer to own and architect the data infrastructure that powers their Clinical, AI, Product, and Financial Operations, ensuring the platform can scale seamlessly to meet the demands of large healthcare clients.
Artificial Intelligence (AI)Health CareMedicalPersonal Health
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
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
Qualification
Required
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
Preferred
Hands-on experience architecting data platforms from day 0 in a fast-paced, high-growth environment
Extensively worked with healthcare data and standards (e.g. HL7 FHIR, CDS, ICD-10)
Experience with our tech stack: AWS, Google Cloud, PostgreSQL, FHIR servers
Consider yourself a Swiss-army knife data engineer who can flex into both data infrastructure, semantic modeling, and operational analytics
Knowledge of medical statistics and are keen to learn more
Comfortable working across teams on multi-stakeholder projects
Thrive on working alongside exceptional teammates and derive energy from collaborative environments
Company
Counsel Health
The modern front door to healthcare. AI meets real doctors for instant, personalized, and safe medical guidance—anytime, anywhere.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$36MKey Investors
Andreessen Horowitz
2025-10-16Series A· $25M
2024-10-21Seed· $11M
Recent News
2025-10-21
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2025-10-18
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