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 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
