Lead Cloud Data Engineer, Analytics Enablement (GCP)

highmarkhealth; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Highmark Health is seeking a Lead Data Engineer - Cloud Data Products & Analytic Enablement to transform diverse data sources into actionable intelligence for critical decisions across the organization and within our application ecosystem.

This role requires deep expertise in data engineering, analytical programming, and especially Google Cloud Platform technologies to design, build, and optimize scalable data pipelines with quality and governance at the core.

Qualifications

• 7 years of experience in design and analysis of algorithms, data structures, and design patterns in building and deploying scalable systems.
• 7+ years in data engineering, ETL development, or data management roles.
• 7 years of SQL experience with MySQL, PostgreSQL, or MongoDB.
• 7+ years with data warehouse concepts (e.g., Snowflake, Redshift, BigQuery).

Responsibilities

• Lead the design, development, and maintenance of data processes to move and transform data across systems.
• Oversee data models, databases, and warehouses to support BI and analytics needs.
• Collaborate with IT, product, analytics, and business teams to gather requirements.
• Mentor associate, intermediate, and senior data engineers as needed.
• Ensure consistency of data solutions across systems and platforms with other Data Leaders.
• Monitor production schedules, report progress, and escalate issues to lead developers.

Skills

SQL

Python

GCP

Airflow

BigQuery

Data modeling

dbt

Data governance

Stakeholder collaboration

Tools

Cloud Composer

BigQuery

DataFlow

DataProc

Cloud Run

DataPlex

dbt

Starburst/Trino

Job description

Highmark Health is seeking a Lead Data Engineer - Cloud Data Products & Analytic Enablement to transform diverse data sources into actionable intelligence for critical decisions across the organization and within our application ecosystem.

This role requires deep expertise in data engineering, analytical programming, and especially Google Cloud Platform technologies to design, build, and optimize scalable data pipelines with quality and governance at the core.