> Markdown version of [/jobs/ext/4151010-data-engineer-google-cloud-platform](https://www.wearedevelopers.com/jobs/ext/4151010-data-engineer-google-cloud-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer - Google Cloud Platform

- **Company:** The Hartford
- **Location:** Chicago, IL, United States
- **Salary:** $100,960.0 - $151,440.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Cloud Storage, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Identity and Access Management, Python (Programming Language), Machine Learning, Metadata, Meta-Data Management, Cloud Services, Software Construction, Software Engineering, SQL Databases, Data Processing, Google Cloud, Snowflake, Software Security, Multi-Cloud, AI Coding Agents, Agentic-AI, Event Driven Architecture, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Lineage, Collibra, Data Analytics, Api Design, Terraform, Software Version Control
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7aca89a4fa063b4b

## About the Role

* 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., * 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.

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.