Job Title: Senior Data Engineer
Location: Remote

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. 
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 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