> Markdown version of [/jobs/ext/2573176-data-engineer-google-cloud-enterprise-data-warehouse](https://www.wearedevelopers.com/jobs/ext/2573176-data-engineer-google-cloud-enterprise-data-warehouse). 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 / Enterprise Data Warehouse

- **Company:** Beacon Hill Technologies
- **Location:** Walnut Creek, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Data Analysis, BigQuery, Cloud Database, Software Documentation, Code Review, Data Transmissions, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Github, Python (Programming Language), Standard Sql, SQL Databases, Data Processing, Google Cloud, Software Troubleshooting, Generative AI, Information Technology, Google Cloud Functions, Data Management, Virtual Agents, Software Version Control, Data Pipelines
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/59205be2-bbb7-4fc9-a486-6f8987bad9cc

## About the Role

* 3+ years of hands-on Data Engineering experience
 * Strong Google Cloud Platform (Google Cloud Platform) experience
 * Hands-on experience with Google Cloud Storage (GCS) and BigQuery
 * Experience building and maintaining ETL/ELT data pipelines
 * Experience with Airflow / Cloud Composer
 * Experience with Cloud Data Fusion
 * Experience with Google Cloud Functions
 * Experience with BigQuery Data Transfer Service
 * Strong hands-on Python and SQL
 * Experience with GitHub / version control
 * Experience building or supporting an Enterprise Data Warehouse (EDW)
 * Experience working within an Agile/Scrum development team
 * Strong troubleshooting, problem-solving, and data pipeline support skills, * Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
 * Google Cloud Platform certifications.
 * Experience supporting data platforms used for reporting, analytics, Agentic AI, or Generative AI use cases.
 * Strong communication, collaboration, and stakeholder management skills.

## Description

Seeking a junior-level Data Engineer to build, enhance, and maintain an Enterprise Data Warehouse (EDW) supporting reporting, analytics, and AI-driven use cases. This role requires strong hands-on experience with Google Cloud Platform (Google Cloud Platform), BigQuery, Python, SQL, and cloud-based data pipelines., * Build, modify, and maintain cloud-based data pipelines and Enterprise Data Warehouse solutions.

 * Develop scalable data solutions using GCS, BigQuery, Cloud Composer/Airflow, Cloud Data Fusion, Cloud Functions, and BigQuery Data Transfer Service.
 * Write and optimize Python and SQL for data processing, transformation, and integration.
 * Collaborate with data engineering, integration, production support, and business teams to develop new functionality.
 * Troubleshoot and resolve data pipeline, integration, and EDW production issues.
 * Participate in Agile ceremonies, technical discussions, code reviews, and continuous improvement initiatives.
 * Use Google Gemini or Claude to assist with creating detailed technical and system documentation for data pipelines.
 * Manage competing priorities while ensuring high-impact deliverables are completed on schedule.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)