Data Engineer, Google Cloud Platform

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
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $126k

$89k $212k

below market most similar roles pay here above market

This role pays less than 81% of similar roles. Most pay $126,800–$200,500 — the blue band above. At the midpoint, this role pays about $126k versus about $164k 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 70 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 31 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Data Engineer, Google Cloud Platform

Role Posting Log in to save

As a Data Engineer - Google Cloud Platform within the Enterprise Data Services organization, you will build the next generation of metadata-driven and agentic data solutions. You will design and build scalable, production-ready data pipelines and orchestration workflows to advance data governance, automation, and intelligent workflows across the enterprise. Your daily work involves developing integrations between enterprise data platforms and governance systems to enable metadata discovery and lineage propagation. You will utilize Google Cloud Platform technologies including BigQuery, GCS, Composer, and Dataplex, alongside Python, SQL, and APIs. You will also leverage AI-assisted development tools like GitHub Copilot. Key responsibilities include driving engineering excellence through CI/CD, DataOps, and DevSecOps practices while creating reusable frameworks and secure, cost-efficient cloud-based data solutions.

What does a Data Engineer earn?

Median $159000 from 205 postings across 60 companies.

See salary data

Skills

Google Cloud Platform BigQuery Python SQL Cloud Storage Dataplex CI/CD DataOps DevSecOps Terraform Infrastructure-as-Code ETL ELT APIs GitHub Copilot Snowflake Informatica IDMC Collibra Metadata Management Data Governance

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 metadata capture and policy enforcement.
Build reusable frameworks, APIs, and platform services to accelerate enterprise standardization.
Drive engineering excellence using CI/CD, automation, testing, observability, and DataOps practices.
Develop intelligent automation solutions that leverage governed metadata and business context.

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 effectively evaluate and apply AI-generated solutions.
Excellent problem-solving, collaboration, and communication skills.

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