Data Engineer - Google Cloud Platform

Hartford Fire Ins. Co is hiring a Data Engineer to build and operate cloud data solutions for its Enterprise Data Services organization. The role focuses on GCP data pipelines, metadata discovery and governance integrations, and intelligent automation across enterprise data platforms.

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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

Preferred

• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field, or equivalent professional experience
• Experience with AI, agentic solutions, intelligent automation, or machine learning-enabled workflows
• Familiarity with metadata-driven architectures and data catalog technologies
• Experience with data governance platforms such as Informatica IDMC/CDGC, Dataplex/Knowledge Catalog, Collibra, or similar solutions
• Knowledge of data lineage, data quality, metadata management, and business glossary concepts
• Experience with API integration, event-driven architectures, and API security practices
• Exposure to Snowflake, multi-cloud architectures, Terraform, or Infrastructure-as-Code practices

Benefits

• Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
• Glassdoor
• 3.9
• The Hartford is a insurance and financial services company providing property, casualty, and group benefits products.
• Hartford, Connecticut, USA
• https://www.thehartford.com
• Late Stage
• Leadership Team
• Lynn Ferrari
• Co-Founder
• Judy Philbin
• Divestiture Support - CTO
• Recent News
• MarketScreener
• Morgan Stanley Raises Hartford Insurance Price Target to $145 From $142, Maintains Equal Weight Rating
• 2026-07-28
• Hartford Insurance Post-Earnings Stock Decline due to Margin Pressures, Liability Reserve Charges, RBC Says
• 2026-07-27
• Hartford Business Journal
• The Hartford to sell mutual funds business in deal valued at up to $1.9B
• 2026-06-04
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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
• Candidate must be authorized to work in the US without company sponsorship
• The company will not support the STEM OPT I-983 Training Plan endorsement for this position
• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field, or equivalent professional experience
• Experience with AI, agentic solutions, intelligent automation, or machine learning-enabled workflows
• Familiarity with metadata-driven architectures and data catalog technologies
• Experience with data governance platforms such as Informatica IDMC/CDGC, Dataplex/Knowledge Catalog, Collibra, or similar solutions
• Knowledge of data lineage, data quality, metadata management, and business glossary concepts
• Experience with API integration, event-driven architectures, and API security practices
• Exposure to Snowflake, multi-cloud architectures, Terraform, or Infrastructure-as-Code practices

Required skills

• BigQuery, CI/CD, Cloud Security, Dataplex/Knowledge Catalog, ETL/ELT, Google Cloud Platform, Google Cloud Storage, IAM, Informatica IDMC/CDGC, Metadata Management, Python, SQL

Experience

• Mid level