Data Engineer

Ford • Dearborn, MI

2d • $85,400 - $143,200 • Hybrid

About The Position

The Data Engineer will support Ford Pro’s Pro360 team in creating a seamless, data-driven ecosystem. The role spans the end-to-end data lifecycle, including ingestion, transformation, visualization, and presentation of insights to executives. It combines data engineering and DevOps responsibilities, using Google Cloud Platform, SQL, Python, Terraform, and Tekton. The engineer will also consult with business stakeholders, build reporting solutions, and present findings that inform strategic decisions.

The position is hybrid, with an expectation to be onsite four days per week. Candidates who are not within commuting distance are expected to relocate. Visa sponsorship is provided. The stated salary range is $85,400–$143,200, with final salary placement based on skills, experience, job scope, responsibility, and market value.

Requirements

• Bachelor’s degree or foreign equivalent in computer science, information technology, or a technology-related field.
• At least 5 years of professional experience in data engineering, data-platform engineering, analytics engineering, or a related discipline.
• Experience designing, building, deploying, and supporting scalable data pipelines and cloud-based data solutions.
• Experience working with business stakeholders to turn data requirements into technical solutions and actionable insights.
• Strong SQL skills, including writing complex queries, optimizing performance, and managing large-scale datasets.
• Hands-on experience with BigQuery and PostgreSQL, including pgAdmin or comparable database-management tools.
• Intermediate to advanced Python coding skills for data manipulation, automation, and analysis.
• Hands-on Google Cloud Platform experience, including BigQuery, Dataflow, and Cloud Run.
• Experience designing and managing data-pipeline orchestration with Apache Airflow, Astronomer, or similar technologies.
• Experience using Terraform for cloud-infrastructure provisioning and Infrastructure as Code.
• Experience using Tekton or comparable CI/CD technologies to automate data-platform deployment and releases.
• Experience using GitHub and modern development tools, including Visual Studio Code, for version control and collaborative development.
• Experience building business dashboards and visualizations with Looker Studio or similar business-intelligence tools.
• Understanding of data quality, data governance, cloud security, monitoring, and operational-support practices.
• Strong communication, analytical, problem-solving, and stakeholder-management skills.
• Ability to work independently and collaboratively in a cross-functional Agile delivery environment.
• Candidates must be legally authorized to work in the United States; employment eligibility will be verified at hire.

Nice To Haves

• Master’s degree in Computer Science, Data Engineering, Analytics, or a related quantitative field.
• Experience with additional GCP services relevant to data engineering, analytics, and application development.
• Experience processing high-volume data using Apache Spark, Dataflow, or other distributed data-processing technologies.
• Familiarity with data modeling, data warehousing, and modern data-lakehouse architecture patterns.
• Experience developing executive dashboards, KPI reporting, and strategic business insights.
• Experience with Microsoft Excel, PowerPoint, and other tools for executive communications and data storytelling.
• Experience supporting Ford Pro, fleet management, commercial vehicles, mobility, or customer-productivity initiatives.
• Familiarity with Agile development methods, DevOps practices, automated testing, and cloud-native engineering principles.

Responsibilities

• Design, develop, maintain, and optimize data pipelines using Astronomer, Apache Airflow, and related orchestration technologies.
• Build data ingestion, transformation, validation, and processing solutions across structured and semi-structured data sources.
• Deploy and manage cloud-based data services on Google Cloud Platform, including BigQuery, Dataflow, and Cloud Run.
• Write advanced SQL queries to extract, transform, analyze, and optimize large-scale datasets.
• Develop maintainable Python code for data transformation, automation, workflow development, and analysis.
• Design and support data models, datasets, and reporting layers for business intelligence and analytics.
• Use Terraform to provision and manage cloud infrastructure through Infrastructure as Code practices.
• Build and maintain CI/CD automation using Tekton, GitHub, and related DevOps tools.
• Implement data-quality controls, monitoring, error handling, and operational-support practices to ensure pipeline reliability and data accuracy.
• Build dashboards and reporting solutions in Looker Studio to track KPIs and provide visibility to business stakeholders.
• Partner with business teams and leadership to understand data needs, define reporting requirements, and align data strategy with business goals.
• Translate technical findings and complex data insights into clear, actionable presentations for non-technical audiences.
• Use Microsoft Office tools, including PowerPoint and Excel, to develop executive-ready analyses, reports, and presentations.
• Participate in technical design sessions, Agile planning, peer reviews, and continuous-improvement activities.
• Contribute to data-engineering standards, documentation, reusable development patterns, and a collaborative engineering culture.

Benefits

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

What This Job Offers

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