Data Engineer

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.

Qualifications

We recognize that no one person will embody every single quality or skill listed below. If you are passionate about data engineering, cloud platforms, automation, and delivering meaningful business insights, we encourage you to apply.

Education:

• Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
• Master’s degree in Computer Science, Data Engineering, Analytics, or a related quantitative field is preferred.

Experience:

• 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 translate data requirements into technical solutions and actionable insights.
• Strong communication, analytical, problem-solving, and stakeholder-management skills.
• Ability to work independently and collaboratively within a cross-functional, Agile delivery environment.

Required Technical Experience:

• Strong SQL skills, including the ability to write complex queries, optimize performance, and manage large-scale datasets.
• Hands-on experience with BigQuery and PostgreSQL database technologies, including pgAdmin or comparable database-management tools.
• Intermediate to advanced Python coding skills, with experience developing clean, maintainable code 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 using 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 release processes.
• Experience using GitHub and modern development tools, including Visual Studio Code, for version control and collaborative development.
• Experience building business dashboards and visualizations using Looker Studio or similar business-intelligence tools.
• Understanding of data quality, data governance, cloud security, monitoring, and operational-support practices.

Preferred Experience:

• 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 used for executive communications and data storytelling.
• Experience supporting Ford Pro, fleet-management, commercial-vehicle, mobility, or customer-productivity initiatives.
• Familiarity with Agile development methods, DevOps practices, automated testing, and cloud-native engineering principles.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• 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.

For a detailed look at our benefits, click here: Benefit Summary

This position is a salary grade 6.

This position is a salary grade 6 and ranges from $85,400-$143,200.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

* Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be onsite 4 days per week *

*Visa Sponsorship is provided for this role*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

#LI-GH2

Responsibilities

• Design, develop, maintain, and optimize complex data pipelines using Astronomer, Apache Airflow, and related orchestration technologies.
• Build scalable 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 clean, maintainable Python code for data transformation, automation, workflow development, and analysis.
• Design and support data models, datasets, and reporting layers that enable trusted 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 intuitive dashboards and reporting solutions in Looker Studio to track key performance indicators 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, concise, and 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.