Senior Data Engineer

OmegaHires • New York City, NY

12h • Onsite

About The Position

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed