Senior Staff Data Engineer — Health Data Platform (Remote)

Hidden Jobs

United States

Remote

USD 170,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Disability insurance
401(k) with company match

Job summary

Hidden Jobs is seeking a senior data engineer to lead the development of a unified data platform for a healthcare-focused product portfolio. This remote US role partners with the architecture group to refine design and own end-to-end implementation and integration.

You will own ingestion, modeling, and consumption surfaces, shape architecture from high-level guidance, and mentor a team of data engineers while ensuring data quality and scalable pipelines.

Qualifications

  • Strong SQL proficiency and data modeling experience.
  • Hands-on experience designing and operating cloud data platforms.
  • Experience mentoring engineers and shaping engineering standards.
  • Familiarity with ELT patterns and dbt or similar tools.

Responsibilities

  • Own design across ingestion, modeling, and consumption surfaces of the data platform.
  • Shape architecture from high-level direction provided by architecture team.
  • Build ingestion pipelines from diverse production sources.
  • Transform raw data into business-ready datasets with a single metric definition.
  • Set engineering standards including data quality and testing practices.
  • Collaborate with platform/operations teams and mentor data engineers.

Skills

SQL
Data modeling
ETL/ELT
Mentoring

Tools

dbt
Snowflake
Airflow
Dagster
Prefect

Job description

Hidden Jobs is seeking a senior data engineer to lead the development of a unified data platform for a healthcare-focused product portfolio. This remote US role partners with the architecture group to refine design and own end-to-end implementation and integration.

You will own ingestion, modeling, and consumption surfaces, shape architecture from high-level guidance, and mentor a team of data engineers while ensuring data quality and scalable pipelines.

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