Data Engineer, Google Cloud Platform — Hybrid & AI‑Driven

The Hartford; Charlotte (NC); Hybrid; USD 101,000 - 151,000; Full time

Job summary

The Hartford is seeking a Data Engineer to design enterprise-scale data pipelines on Google Cloud, advancing metadata-driven governance and intelligent automation across the enterprise.

You will work hands-on with modern cloud technologies and AI-assisted tools, collaborating with Data Governance, Product, and Platform Engineering teams to deliver scalable data solutions and robust CI/CD practices.

Qualifications

• Strong hands-on experience with GCP, 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.

Responsibilities

• Build scalable, production-ready data pipelines and orchestration workflows on GCP.
• Develop integrations between enterprise data platforms and governance systems to enable metadata discovery, lineage, and automation.
• Design and deploy secure, reliable, observable, and cost-efficient cloud-based data solutions.
• Embed governance controls directly into engineering workflows through metadata capture, classification, policy enforcement, and lineage propagation.
• Contribute to the development of intelligent automation solutions that leverage governed metadata and business context.
• Partner with stakeholders to deliver reusable, high-quality engineering solutions aligned with enterprise architecture standards.
• Improve operational excellence through automation, monitoring, testing, CI/CD, and platform engineering best practices.

Skills

GCP experience

Python

SQL

Data pipelines

CI/CD

AI-assisted development

Problem solving

Collaboration

Communication

Education

Bachelor's degree in CS/Engineering/IT/Data Analytics

Tools

Google Cloud Platform

BigQuery

Cloud Storage

IAM

Dataplex

Knowledge Catalog

Collibra

Terraform

Job description

The Hartford is seeking a Data Engineer to design enterprise-scale data pipelines on Google Cloud, advancing metadata-driven governance and intelligent automation across the enterprise.

You will work hands-on with modern cloud technologies and AI-assisted tools, collaborating with Data Governance, Product, and Platform Engineering teams to deliver scalable data solutions and robust CI/CD practices.