Data Engineer - Google Cloud Platform
About The Position
Join The Hartford's Enterprise Data Services organization to build the next generation of metadata-driven and agentic data solutions. The Data Engineer will use cloud technologies, modern engineering practices, and AI-assisted development tools to deliver capabilities that advance data governance, automation, and intelligent workflows across the enterprise. The role contributes to how enterprise data is discovered, governed, managed, and used to drive business value, while offering opportunities to develop expertise in cloud engineering, metadata management, governance, and AI-enabled development. The position follows a hybrid schedule, with in-office work three days per week, Tuesday through Thursday, in Columbus, Ohio; Chicago, Illinois; Hartford, Connecticut; or Charlotte, North Carolina. The role focuses on production-ready GCP data pipelines and orchestration, integrations with governance systems, secure and observable cloud solutions, governance embedded in engineering workflows, and reusable platform capabilities. The engineer collaborates with governance, product, platform engineering, business partners, and other stakeholders, and supports operational excellence through automation, testing, monitoring, CI/CD, DataOps, and DevSecOps practices.
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 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 evaluate and apply AI-generated solutions effectively.
- Excellent problem-solving, collaboration, and communication skills.
- Must be authorized 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.
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 that use 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 practices.
- Build reusable frameworks, APIs, and platform services that support enterprise adoption and standardization.
- Collaborate with Data Governance, Product, Platform Engineering, and business partners to deliver enterprise capabilities.
- Support the 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.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
