GCP Data Engineer

The Hartford

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NCColumbus, OHHartford, CTChicago, IL
Salary
$100,960–$151,440 / yr
Posted
37 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $126k
$88k most similar roles pay here $224k

This role pays less than 88% of similar roles. Most pay $131,035–$211,200 — the shaded band above. At the midpoint, this role pays about $126k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 45 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 37 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · GCP Data Engineer

As a GCP Data Engineer within the Enterprise Data Services organization, you will build the next generation of metadata-driven and agentic data solutions. You will design and develop scalable, production-ready data pipelines, orchestration workflows, and reusable frameworks on Google Cloud Platform using BigQuery, GCS, Composer, Dataplex, and various APIs. Your daily work involves integrating enterprise data platforms with governance systems to enable metadata discovery, lineage services, and intelligent automation. To achieve these goals, you will utilize Python, SQL, and AI-assisted development tools like GitHub Copilot while practicing CI/CD, DataOps, and DevSecOps. The role focuses on solving complex problems in data governance, automated policy enforcement, and the creation of secure, cost-efficient cloud architectures to improve business processes through intelligent workflows and metadata-driven engineering practices across the enterprise.

What you'll do

  • Build scalable, production-ready data pipelines and orchestration workflows on Google Cloud Platform.
  • Develop integrations between enterprise data platforms and governance systems for metadata discovery and lineage.
  • Design and deploy secure, reliable, and cost-efficient cloud-based data solutions.
  • Embed governance controls into engineering workflows through automated metadata capture and policy enforcement.
  • Create reusable frameworks, APIs, and platform services to standardize enterprise data capabilities.
  • Implement DataOps practices including CI/CD, automation, testing, and observability.
  • Develop agentic and AI-enabled solutions to improve business processes and governance outcomes.

What we're looking for

  • Strong hands-on experience with Google Cloud Platform, including BigQuery, Cloud Storage, IAM, and orchestration technologies.
  • Proficiency in Python and SQL for data engineering, automation, API development, and scalable data processing.
  • Experience building and supporting enterprise data pipelines, ETL/ELT processes, or data services.
  • Understanding of software engineering best practices including source control, testing, CI/CD, and modular application design.
  • Experience designing and implementing secure, production-grade cloud solutions.
  • Familiarity with AI-assisted software development tools and the ability to apply AI-generated solutions.
  • A Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field is preferred.

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