OmegaHires

Compensation

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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 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