Counsel Health
Expert medical advice from real doctors.
Senior Data Engineer
Location
New York
Posted
113 days ago
Salary
Not specified
Bachelor Degree5 yrs expExperience acceptedEnglishAirflowAWSBig QueryCloudPostgresSQL
Job Description
• 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.
• 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
Job 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
Benefits
- Health insurance
- Flexible working hours
- Professional development