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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Data Engineer - **Company:** Ford Motor Company - **Location:** Dearborn, MI, United States - **Experience:** Experienced - **Salary:** $99,600.0 - $192,900.0 - **Contract:** Permanent contract - **Skills:** Software Quality, Continuous Integration, Information Engineering, Data Governance, Data Mapping, Data Systems, Data Warehousing, DevOps, Document-Oriented Databases, Scrum Methodology, Software Deployment, Software Engineering, SonarQube, Data Streaming, Google Cloud, Cloud Platform System, Test-Driven Development (TDD), Data Ingestion, DevOps Tools - Open-source, Delivery Pipeline, Infrastructure as Code (IaC), Information Technology, Data Lineage, Production Code, Data Analytics, Checkmarx, Terraform, Data Pipelines, Vulnerability Analysis - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1750e00bc67b8d57 ## About the Role Do you have experience in Stakeholder management?, Do you have a Bachelor's degree?, * Cloud Platform Expertise: 3+ years of strong hands-on experience building and deploying data solutions on Google Cloud Platform (GCP). * Data Pipeline Engineering: Proven experience designing and maintaining both batch and streaming data ingestion pipelines at scale. * Infrastructure as Code (IaC): Proficiency in managing infrastructure using Terraform. * CI/CD & DevOps: 2+ years of solid experience with continuous integration and continuous deployment (CI/CD) methodologies and enhancing DevOps capabilities. * Data Modeling & Governance: Deep understanding of data warehousing principles, data mapping, data lineage, and enterprise data governance standards. * Modern Development Practices: Experience working in an Agile/Scrum environment utilizing Test-Driven Development (TDD). * Security & Quality Tools: Familiarity with code quality and vulnerability scanning tools such as SonarQube, Checkmarx, Fossa, and/or Cycode. Soft Skills & Education * Education: Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field * Communication & Collaboration: Excellent communication and interpersonal skills, with a proven ability to collaborate with business stakeholders and advocate for well-designed technical solutions. * Problem-Solving & Mindset: A customer-centric approach to engineering with strong analytical, troubleshooting, and optimization skills. ## Description As a Data Engineer, you will design and scale robust batch and streaming data pipelines on the Google Cloud Platform (GCP). You will build exceptional analytical data products rooted in solid data warehousing principles. Working in an agile, customer-centric environment, you will champion modern software engineering practices. You will manage and scale our platform's infrastructure using Terraform (Infrastructure as Code) and continuously deliver high-quality code through robust CI/CD pipelines. As collaboration is key, you will partner closely with analytics stakeholders to streamline how data is acquired, processed, and presented. Security and quality are built into everything we do. You will proactively monitor data quality, document data lineage, and address code vulnerabilities using modern DevSecOps tools. Additionally, you will optimize our existing data solutions to ensure they are highly secure, reliable, cost-effective, and performing at their peak, while providing critical production support to keep our pipelines running smoothly. * Pipeline Development & Ingestion: Design, build, and scale robust batch and streaming data pipelines on Google Cloud Platform (GCP) to process large volumes of finance data. * Data Warehousing & Architecture: Develop exceptional analytical data products applying solid data warehouse principles, data modeling, and best practices. * Infrastructure & DevOps: Maintain and enhance the platform's infrastructure using Terraform (Infrastructure as Code) and continuously develop, evaluate, and deploy code using CI/CD pipelines. * Stakeholder Collaboration: Partner closely with data analytics stakeholders to streamline and optimize data acquisition, processing, and presentation workflows. * Data Governance & Quality: Implement and promote enterprise data governance models focusing on data protection, sharing, reuse, standards, quality monitoring, and data lineage documentation. * Code Quality & Security: Write clean, reliable code using Test-Driven Development (TDD) in an agile environment, actively addressing security vulnerabilities and code quality issues using tools like SonarQube, Checkmarx, Fossa, and Cycode. * Optimization & Cost Management: Continuously optimize existing data solutions (pipelines, infrastructure, and products) to ensure high performance, security, reliability, low vulnerability, and cost efficiency. * Production Support: Monitor production pipelines and provide timely production support to resolve issues in accordance with established SLAs. * Continuous Improvement: Stay current on modern data engineering practices, contribute to the company's technical direction, and proactively build domain expertise in finance data. ## 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) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [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) - [Car's are Technology on Wheels - Impact of Software and IT Competence in Automotive](https://www.wearedevelopers.com/videos/780-car-s-are-technology-on-wheels-impact-of-software-and-it-competence-in-automotive) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [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 - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [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)