Lead Data Engineer – Cloud Analytics & Data Products (Remote)

Highmark Health; Olympia (WA); On-site; USD 118,000 - 197,000; Full time

Job summary

Highmark Health is seeking a Lead Data Engineer — Cloud Data Products & Analytic Enablement in Olympia, WA. You will transform diverse data sources into actionable insights, leveraging GCP technologies to design scalable data pipelines and curated datasets for business users.

You will collaborate with stakeholders across IT, product, analytics, and business teams, ensuring data quality and governance, while mentoring engineers and driving data product maturity in a healthcare context.

Qualifications

• 7+ years in data engineering, ETL or data management roles.
• Strong SQL and Python with experience in data pipelines and warehouses.
• Hands‑on with GCP services: BigQuery, DataFlow, Cloud Composer, DataProc, Cloud Run.
• Experience with dbt, data modeling, and governance frameworks.

Responsibilities

• Lead design, development, and maintenance of data processes across systems.
• Oversee data models, databases, and warehouses to support BI and analytics.
• Collaborate with IT, product, analytics, and business teams to gather requirements.
• Mentor junior to senior data engineers and ensure data governance practices.

Skills

SQL

Python

GCP

BigQuery

Dataflow

Cloud Composer

dbt

Data governance

ETL design

Unix/Linux

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

Master’s degree (preferred)

Tools

BigQuery

DataFlow

Cloud Composer

DataProc

Cloud Run

dbt

Starburst (Trino)

Monte Carlo / Soda

Atlan / Collibra

Job description

Highmark Health is seeking a Lead Data Engineer — Cloud Data Products & Analytic Enablement in Olympia, WA. You will transform diverse data sources into actionable insights, leveraging GCP technologies to design scalable data pipelines and curated datasets for business users.

You will collaborate with stakeholders across IT, product, analytics, and business teams, ensuring data quality and governance, while mentoring engineers and driving data product maturity in a healthcare context.