GCP Data Engineer

Join The Hartford's Enterprise Data Services organization and help build the next generation of metadata-driven and agentic data solutions. As a Data Engineer, you'll work with cutting-edge cloud technologies, modern engineering practices, and AI-assisted development tools to deliver innovative capabilities that advance data governance, automation, and intelligent workflows across the enterprise.

About the role

This role will have a 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).

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.
• Design and build enterprise-scale data engineering solutions that power metadata-driven and intelligent automation capabilities.
• Work hands-on with modern cloud technologies including Google Cloud Platform (BigQuery, GCS, Composer, Dataplex, APIs, and more).
• Help shape the future of Data Governance through engineering-led automation, lineage services, metadata synchronization, and intelligent workflows.
• Collaborate with Data Governance, Product, Platform Engineering, and business partners to deliver innovative enterprise capabilities.
• Leverage AI-assisted development tools such as GitHub Copilot and other modern engineering accelerators to increase productivity and innovation.
• Build reusable frameworks, APIs, and platform services that accelerate adoption and standardization across the enterprise.
• Drive engineering excellence through CI/CD, automation, testing, observability, DataOps, and DevSecOps practices.
• Influence and support the development of agentic and AI-enabled solutions that improve business processes and governance outcomes.

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 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.

Qualifications

• 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

• Expand your expertise in cloud data architecture, security, governance-by-design, and scalable data engineering patterns.
• Work in a supportive, forward-thinking environment that values innovation, continuous learning, collaboration, and career growth.
• Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.

Pay

The annualized base pay range for this role is: $100,960 - $151,440.

Schedule

Hybrid work schedule, with the expectation of working in an office 3 days a week (Tuesday through Thursday).