Full Stack Data Engineer

Ford • Dearborn, MI

2d • $85,400 - $143,200 • Hybrid

About The Position

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world – together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?
Do you believe data is the engine driving the future of mobility? We do! Transforming how Ford manages, analyzes, and leverages financial data requires scalable data platforms, reliable cloud infrastructure, and high-quality analytical products that enable timely, data-driven decision-making. That’s where the Finance Data Hub makes an impact. We are modernizing how Ford manages financial data globally, delivering trusted and secure data products that support critical finance initiatives across the enterprise.
We are seeking a talented and driven Full Stack Data Engineer to join our product team. In this role, you will build scalable, high-performance data pipelines and cloud infrastructure that power financial reporting, analytics, and strategic decision-making. You should have a strong technical background and demonstrate experience in Google Cloud Platform (GCP), data warehousing, batch and streaming pipeline development, infrastructure automation, and modern software engineering practices.
Responsibilities include the end-to-end design, development, deployment, optimization, and production support of finance data products—from ingestion and transformation through governance, quality monitoring, and delivery. Working in an Agile, customer-centric environment and in close partnership with analytics stakeholders, product managers, and cross-functional engineers, you will deliver secure, reliable, cost-effective, and high-performing data solutions at enterprise scale.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, or a technology-related field.
• 3+ years of strong hands-on experience building and deploying data solutions on Google Cloud Platform.
• Proven experience designing, developing, and maintaining batch and streaming data ingestion pipelines at scale.
• 2+ years of experience with continuous integration and continuous deployment methodologies and enhancing DevOps capabilities.
• Experience working in Agile/Scrum environments and collaborating with cross-functional teams.
• Demonstrated problem-solving skills, analytical thinking, and the ability to communicate complex technical concepts effectively.
• Ability to work independently while contributing effectively as part of a product-oriented engineering team.
• Strong hands-on experience with Google Cloud Platform services used for data engineering and analytics.
• Experience building scalable batch and streaming data pipelines.
• Proficiency with Terraform and Infrastructure as Code practices.
• Strong understanding of data warehousing principles, data modeling, data mapping, and analytical data product design.
• Experience with data lineage, data quality monitoring, and enterprise data governance standards.
• Experience with CI/CD pipelines, version control, automated testing, code reviews, and modern DevOps practices.
• Experience utilizing Test-Driven Development and writing clean, reliable, maintainable code.
• Familiarity with code quality and vulnerability scanning tools such as SonarQube, Checkmarx, Fossa, and/or Cycode.
• Strong communication and collaboration skills, including the ability to partner with business stakeholders and advocate for well-designed technical solutions.
• Customer-centric mindset with strong troubleshooting, optimization, and production-support capabilities.

Nice To Haves

• Experience with GCP data services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and related cloud-native data technologies.
• Experience building and deploying cloud-native applications using Python, SQL, or similar programming languages.
• Experience processing large datasets using Spark or other distributed data-processing frameworks.
• Experience with containerization technologies such as Docker.
• Familiarity with Tekton or similar tools for cloud-native automation.
• Experience developing APIs or service-layer capabilities that enable secure access to data products.
• Experience in finance, accounting, enterprise financial systems, or financial data domains.
• Experience supporting production data platforms with defined service-level agreements.

Responsibilities

• Design, build, and scale robust batch and streaming data pipelines on Google Cloud Platform (GCP) to process large volumes of finance data.
• Develop exceptional analytical data products applying solid data warehouse principles, data modeling, and best practices.
• Maintain and enhance the platform's infrastructure using Terraform (Infrastructure as Code) and continuously develop, evaluate, and deploy code using CI/CD pipelines.
• Partner closely with data analytics stakeholders to streamline and optimize data acquisition, processing, and presentation workflows.
• Implement and promote enterprise data governance models focusing on data protection, sharing, reuse, standards, quality monitoring, and data lineage documentation.
• 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.
• Continuously optimize existing data solutions (pipelines, infrastructure, and products) to ensure high performance, security, reliability, low vulnerability, and cost efficiency.
• Monitor production pipelines and provide timely production support to resolve issues in accordance with established SLAs.
• Stay current on modern data engineering practices, contribute to the company's technical direction, and proactively build domain expertise in finance data.

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level