GCP Data Engineer: Cloud & Governance Innovator

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

Job summary

The Hartford is seeking a Data Engineer to join a hybrid team shaping enterprise data platforms in Columbus and other hubs. You’ll design scalable data pipelines on GCP, integrate governance and lineage, and push automation with AI-assisted development tools to improve data-driven decisions.

Ideal candidates will have strong Python/SQL skills, experience with data pipelines, and cloud security practices. The role emphasizes collaboration, automation, and adherence to enterprise architecture

Qualifications

• Strong hands-on experience with Google Cloud Platform, BigQuery, IAM and orchestration.
• Proficiency in Python and SQL for data engineering, automation, 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 design.

Responsibilities

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

Skills

GCP

Python

SQL

ETL/ELT

CI/CD

Education

Bachelor's degree

Tools

Informatica IDMC

Dataplex

Collibra

Terraform

Snowflake

Job description

The Hartford is seeking a Data Engineer to join a hybrid team shaping enterprise data platforms in Columbus and other hubs. You’ll design scalable data pipelines on GCP, integrate governance and lineage, and push automation with AI-assisted development tools to improve data-driven decisions.

Ideal candidates will have strong Python/SQL skills, experience with data pipelines, and cloud security practices. The role emphasizes collaboration, automation, and adherence to enterprise architecture