Data Engineer - Google Cloud Platform

The Hartford • Charlotte, NC

1d • Hybrid

About The Position

The Data Engineer will join The Hartford's Enterprise Data Services organization to build metadata-driven and agentic data solutions. The role uses cloud technologies, modern engineering practices, and AI-assisted development tools to advance data governance, automation, and intelligent workflows across the enterprise. The engineer will help shape enterprise data platforms while developing expertise in cloud engineering, metadata management, governance, and AI-enabled development.

This is a hybrid role based in Columbus, Ohio; Chicago, Illinois; Hartford, Connecticut; or Charlotte, North Carolina, with an expectation of working in an office three days per week, Tuesday through Thursday. The position requires authorization to work in the United States without company sponsorship; the company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Requirements

• 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 ability to evaluate and apply AI-generated solutions effectively.
• Strong problem-solving, collaboration, and communication skills.
• Authorization to work in the United States without company sponsorship; STEM OPT I-983 Training Plan endorsement will not be supported.

Nice To Haves

• 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.

Responsibilities

• Build scalable, production-ready data pipelines and orchestration workflows on Google Cloud Platform.
• 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 into engineering workflows through metadata capture, classification, policy enforcement, and lineage propagation.
• Contribute to intelligent automation solutions leveraging 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.
• Build reusable frameworks, APIs, and platform services to accelerate enterprise adoption and standardization.
• Collaborate with Data Governance, Product, Platform Engineering, and business partners.
• Support development of agentic and AI-enabled solutions that improve business processes and governance outcomes.

Benefits

• Short-term or annual bonuses may be offered.
• Long-term incentives may be offered.
• On-the-spot recognition may be offered.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed