> Markdown version of [/jobs/ext/614559-intl-mx-gcp-data-engineer](https://www.wearedevelopers.com/jobs/ext/614559-intl-mx-gcp-data-engineer). 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).

---

# INTL - MX - GCP Data Engineer

- **Company:** Insight Global
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Business Analytics Applications, Automation of Tests, BigTable, BigQuery, Cloud Computing Security, Cloud Database, Cloud Engineering, Continuous Integration, Information Engineering, Data Fusion, Data Systems, Database Development, DevOps, Data Flow Control, Identity and Access Management, Network Security, Cloudera, Azure Machine Learning, Google Cloud, Build Server, Data Lakes, Information Technology, Data Management, Terraform, Domain Driven Design, Legacy Systems, Microservices
- **Published:** June 12, 2026
- **Apply:** https://dejobs.org/x/x/0BD04780F3C1493E81869424DA5220B6/job/

## About the Role

Must Have:

 * 5+ years of analytics application development experience

 * 5+ years of SQL development experience

 * Any amount of GCP cloud experience is required

 * In-depth understanding of cloud architecture and Google Cloud Platform services

 * Strong understanding of DevOps principles, CI/CD pipelines, and automated testing

 * Familiarity with cloud security best practices (IAM, encryption, network security)

 * Experience with domain-driven design and data mesh principles

 * Ability to design and implement data lakes, warehouses, and analytics platforms

 * Strong understanding of microservices architecture Plusses:

 * Bachelor's degree in Computer Science, Engineering, Data Science, or related field

 * Google Professional Cloud Data Engineer certification

 * Experience in banking or financial regulatory reporting

 * Experience migrating legacy analytics applications to cloud platforms

 * Strong leadership, communication, and presentation skills

 * Exposure to diverse technologies and platforms

 * Ability to work in fast-paced, multi-project environments

 * Strong experience with GCP Big Data tools such as BigQuery, BigTable, Dataflow, Pub/Sub, Data Fusion, Dataproc, Cloud Build, Airflow, and Terraform (or equivalent technologies)

## Description

In this role, you'll leverage your expertise in GCP and data engineering to modernize legacy applications and build scalable cloud analytics platforms. You'll collaborate with global engineering teams to define and implement enterprise data strategies, working closely with stakeholders to align solutions with business needs and regulatory requirements. Your responsibilities will include designing and delivering a unified data platform on GCP, guiding teams on data modeling and architecture, and advising on best practices for cloud security, DevOps, and data mesh. You'll also support proof-of-concepts, product evaluations, and integration efforts, while enabling insights through AI/ML platforms and modern data solutions.


## Related Videos

- [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)
- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment)

## Related Articles

- [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)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)