Sr. Data Engineer (Data Platforms)
Core
Building scalable data infrastructure, pipelines, and tooling to power product analytics, financial operations, and downstream teams in the healthcare financial services domain.
Role type
Senior individual contributor data engineer (data platforms)
Builds
Production data pipelines, data models, and platform tooling for client billing, financial reporting, and product analytics.
Domain
Healthcare technology / Financial services / Data engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, Python, data pipeline design, data modeling, cloud infrastructure, testing strategies, observability, technical mentorship
Preferred skills
metadata and data governance tools, streaming and event-driven data pipelines, healthcare/fintech domain knowledge, analytics and visualization tools
Technologies
dbt, Airflow, Snowflake, Liquibase, AWS (S3, IAM), OpenMetadata, Great Expectations, Kafka, CDC tools
Responsibilities
Design and own scalable ELT/ETL pipelines; modernize legacy data flows into dbt; improve reliability and observability of the data platform; model data for usability and performance; partner with cross-functional teams to define interfaces and ensure data accuracy; contribute to data platform vision and standards; provide technical mentorship to other engineers.
Seniority
Senior, hands-on IC with significant autonomy and technical ownership