Google Cloud Data Engineer: AI-Driven Governance

The Hartford; Chicago (IL); Hybrid; USD 101.000 - 151.000; Vollzeit

Zusammenfassung

The Hartford is seeking a Data Engineer to build scalable data pipelines on Google Cloud Platform, advancing metadata-driven governance and AI-assisted automation. You will collaborate across Data Governance, Platform Engineering, and business partners to deliver enterprise-wide capabilities and maintain secure, cost-efficient cloud solutions.

This hybrid role requires three in-office days weekly (Tue–Thu) at locations including Chicago, Columbus, Hartford, or Charlotte, offering opportunities

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

GCP (Google Cloud Platform)

BigQuery

Python

SQL

ETL/ELT pipelines

CI/CD

AI-assisted development tools

Problem-solving

Communication

Collaboration

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Informatica IDMC/CDGC

Dataplex/Knowledge Catalog

Collibra

Terraform

Jobbeschreibung

The Hartford is seeking a Data Engineer to build scalable data pipelines on Google Cloud Platform, advancing metadata-driven governance and AI-assisted automation. You will collaborate across Data Governance, Platform Engineering, and business partners to deliver enterprise-wide capabilities and maintain secure, cost-efficient cloud solutions.

This hybrid role requires three in-office days weekly (Tue–Thu) at locations including Chicago, Columbus, Hartford, or Charlotte, offering opportunities