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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Ford Motor Company - **Location:** Dearborn, MI, United States - **Experience:** Expert - **Salary:** $115,000.0 - $192,900.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Airflow, Data Analysis, Big Data, BigQuery, Cloud Computing, Databases, Continuous Integration, Information Engineering, Database Queries, DevOps, Data Flow Control, Github, Python (Programming Language), PostgreSQL, Microsoft Office, Standard Sql, Software Engineering, SQL Databases, Data Processing, Google Cloud, Google Data Studio, Infrastructure as Code (IaC), Data Strategy, Information Technology, Google Cloud Functions, Terraform, Software Version Control, Data Pipelines - **Published:** July 19, 2026 - **Apply:** https://www.juju.com/job/00000000ghig6x ## About the Role + Master's Degree in Computer Science, Data Engineering, or a related quantitative field. + 5+ years of professional Data Engineer experience + **Strong SQL skills:** Ability to write complex queries, optimize performance, and manage databases via **BigQuery** & **pgAdmin (PostgreSQL)** . + **Intermediate Python Coding:** Proficiency in writing clean, maintainable code for data manipulation and automation. + **GCP Expertise:** Hands-on experience with **BigQuery, dataflow, and Cloud Run** . + **Infrastructure Experience:** Prior experience working with **Terraform** for infrastructure provisioning and **Tekton** for CI/CD. + **Orchestration:** Experience with **Apache Airflow** or **Astronomer** . ## Description The Pro360 team is tasked with creating a seamless, data-driven ecosystem for Ford Pro. In this role, you will be responsible for the end-to-end data lifecycle-from ingestion and transformation to visualization and executive presentation. You will work within a modern tech stack centered on the Google Cloud Platform, utilizing your expertise in SQL and Python to build scalable pipelines. Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will manage infrastructure using Terraform and Tekton. Beyond the technical build, you will act as a consultant to the business, using Looker Studio and the Microsoft Office suite to present insights that influence strategic decisions at management level. + **Pipeline Orchestration:** Design, develop, and maintain complex data pipelines using **Astronomer** and **Airflow** . + **Cloud Infrastructure:** Deploy and manage services within **Google Cloud Platform** , including **BigQuery, Dataflow, and Cloud Run** . + **Infrastructure as Code (IaC):** Use **Terraform** for environment provisioning and **Tekton** for CI/CD pipeline automation. + **Data Analysis & Modeling:** Write advanced **SQL** queries and utilize **Python** to clean, transform, and analyze large-scale datasets. + **Visualization & Storytelling:** Build intuitive dashboards in **Looker Studio** to track KPIs and provide visibility to stakeholders. + **Stakeholder Engagement:** Communicate technical findings to non-technical audiences and collaborate with upper management to align data strategy with business goals. + **Software Best Practices:** Utilize **GitHub** and **VS Code** for version control and collaborative development. ## 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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [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) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)