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Data Engineer, ProProduct Group
Job in
Dearborn, Wayne County, Michigan, 48120, USA
Listed on 2026-06-12
Listing for:
Ford Motor Company
Full Time
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager, Data Analyst
Job Description & How to Apply Below
Ford Pro is a global business within Ford dedicated to helping commercial customers maximize productivity. Ford Pro offers a work-ready portfolio of vehicles, accessories, and services for nearly every vocation, powered by advanced technology and designed for maximum uptime. As a one-stop shop, Ford Pro provides a full range of electrified and internal combustion vehicles that integrate seamlessly with the Ford Pro ecosystem, enabling customers to succeed today and into the future of electrification.
Ford GDIA - Data & Analytics (D&A) is a global team responsible for delivering enterprise data services, modern business intelligence, and advanced analytics solutions that power Ford Pro. Our work enables Ford Pro to operate as an analytics-driven business in a highly competitive market.
We are looking for experienced Data & Analytics professionals to join our product teams and help shape the next generation of commercial business solutions. D&A Cloud Data Engineers work in a product delivery model, partnering closely with business stakeholders, analytics managers, product owners, product designers, data scientists, business intelligence engineers, and software developers to drive innovation from concept to deployment.
This is a fast-paced and highly impactful role that requires strong technical expertise in data engineering and analytics, along with the ability to deliver meaningful outcomes for the Ford Pro commercial business.
Pro
360 Product Group
Pro
360 Product Group leads the design and development of core operational data capabilities for Ford GDIA. This includes:
* ELT, EL, and ETL processes
* Multi-tier data model design and implementation
* Data quality strategy and monitoring
* Domain expertise across enterprise data sets
* Third-party data evaluations
* Development of intelligence layers to improve data accessibility and usability
As a Data Engineer, you will use your expertise in data engineering, analytics, cloud technologies, and modern software tools to design scalable data solutions, improve business processes, and deliver measurable business value. In this role, you will collaborate with Data Engineering teams across the Data & Analytics Products organization and partner with other Ford business units, including Ford Pro, Enterprise Connectivity, Ford Customer Service Division, and Ford Credit.
* Develop EL, ELT, and ETL pipelines to make data available in Big Query for Salesforce CRM, Business Intelligence, Data Science, Marketing Analytics, and other technology teams.
* Work with both on-premises data sources such as Hadoop and SQL Server, as well as cloud-native platforms such as GCP, to understand business rules and data models and build scalable data pipelines.
* Design and implement data ingestion and transformation solutions using GCP services such as Dataflow, Data Fusion, Data Proc, Cloud Functions, and Cloud Run.
* Provision and manage data products using Big Query, Cloud SQL, Pub/Sub, APIs, and other cloud-based services.
* Build cloud-native services and APIs to support and expose data-driven solutions.
* Partner closely with data scientists and analytics teams to ensure timely delivery of high-quality data for impactful business solutions.
* Design, build, and launch shared data services for internal and external developer communities.
* Create scalable, reliable, and fault-tolerant data pipelines while selecting the right tools and technologies for each use case.
* Monitor, optimize, and manage data pipelines to meet operational, performance, and scalability requirements.
* Provide technical and strategic guidance to stakeholders on data transformation initiatives and help the organization better understand and leverage enterprise data.
* Develop EL, ELT, and ETL pipelines to make data available in Big Query for Salesforce CRM, Business Intelligence, Data Science, Marketing Analytics, and other technology teams.
* Work with both on-premises data sources such as Hadoop and SQL Server, as well as cloud-native platforms such as GCP, to understand business rules and data models and build scalable data pipelines.
* Design and implement data ingestion and transformation solutions using GCP services such as Dataflow, Data Fusion, Data Proc, Cloud Functions, and Cloud Run.
* Provision and manage data products using Big Query, Cloud SQL, Pub/Sub, APIs, and other cloud-based services.
* Build cloud-native services and APIs to support and expose data-driven solutions.
* Partner closely with data scientists and analytics teams to ensure timely delivery of high-quality data for impactful business solutions.
* Design, build, and launch shared data services for internal and external developer communities.
* Create scalable, reliable, and fault-tolerant data pipelines while selecting the right tools and technologies for each use case.
* Monitor, optimize, and manage data pipelines to meet operational, performance, and scalability requirements.
* Provide technical and strategic guidance to stakeholders on data transformation…
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