GCP Data Engineer — AI‑Driven Data Governance

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

Benefits offered by this job

Hybrid work schedule

AI-assisted development tools

Career growth opportunities

Job summary

The Hartford is seeking a Data Engineer to help design and build enterprise-scale data pipelines on Google Cloud Platform. You will work with governance, automation, and AI-enabled development to advance data platforms across the enterprise.

Join a collaborative team in a hybrid role with office days 3x per week, contributing to secure, observable data solutions and CI/CD practices while expanding cloud data architecture expertise.

Qualifications

• 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.

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

Problem solving

Collaboration

Communication

Education

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

Tools

Google Cloud Platform

BigQuery

Cloud Storage

IAM

Orchestration technologies

Job description

The Hartford is seeking a Data Engineer to help design and build enterprise-scale data pipelines on Google Cloud Platform. You will work with governance, automation, and AI-enabled development to advance data platforms across the enterprise.

Join a collaborative team in a hybrid role with office days 3x per week, contributing to secure, observable data solutions and CI/CD practices while expanding cloud data architecture expertise.