Data Engineer
Ford Motor Company
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- Location
- Dearborn, MI
- Job type
- Full time
- Posted
- Oct 21
- 1 day ago
Career path
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About the company
Ford Motor Company
Automotive · 10,001+ employees
What you'll do
- Architect the data foundations that drive the commercial business
- Build robust data pipelines
- Manage cloud infrastructure as code
- Translate complex datasets into compelling visual narratives for stakeholders and leadership
What you need
- 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.
- 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.
- 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.
- 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.
Key skills
Building robust data pipelinesCloud infrastructure as codeVisual narratives
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Read the full posting here
As a Data Engineer within the Pro360 division of Ford’s Global Data Insight & Analytics (GDI&A) organization, you will play a pivotal role in architecting the data foundations that drive our commercial business forward. This role is designed for a technical expert who excels at building robust data pipelines, managing cloud infrastructure as code, and translating complex datasets into compelling visual narratives for stakeholders and leadership.