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Added 27 mins ago
Staff Vehicle Product Management Engineer
Ford Motor Company
Long Beach, CA
Added 27 mins ago
Senior Product Affordability Engineer
Ford Motor Company
Palo Alto, CA
Added 5 hours ago
Controls Engineer, Ford Energy
Ford Motor Company
Glendale, KY
Added 5 hours ago
FM
Skilled Trade - Tool and Die Maker - Louisville, KY
Ford Motor Company
Louisville, KY
- $45.07 USD / hour
Added 15 hours ago
Production Supervisor
Ford Motor Company
Kansas City, MO
Added 17 hours ago
Production Control Coordinator
Ford Motor Company
Flat Rock, MI
Added 17 hours ago
Data Retrieval Engineer
Ford Motor Company
Redford, MI
Added 17 hours ago
Field Service Representative
Ford Motor Company
Allen Park, MI
Added 17 hours ago
Engineering Specialist-Manufacturing
Ford Motor Company
Sterling Heights, MI
Added 17 hours ago
Maintenance Supervisor
Ford Motor Company
Sterling Heights, MI
Added 17 hours ago
Production Supervisor MP&L
Ford Motor Company
Livonia, MI
Added 17 hours ago
Cell DV/PV Testing Engineer, Ford Energy
Ford Motor Company
Dearborn, MI
Added 17 hours ago
Product Development Engineer – Quality - Powertrain Systems & Issue Resolution
Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
Product Manager
Ford Motor Company
Dearborn, MI
Added 17 hours ago
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Ford Motor Company
Dearborn, MI
Added 17 hours ago
Director, Hardware Engineering & Integration - ATP
Ford Motor Company
Dearborn, MI

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI, United States

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Job details

Posting language: English
Posted: Oct 20, 2026

Original job description

Full Stack Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Data Pipeline Architect & Builder: Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized, high-quality, and optimized for analytical use. Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Data form, to build robust and efficient data pipelines. End-to-End Integration Expert: Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight. GCP Data Solutions Leader: Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations. Data Governance & Security Champion: Implement and manage robust data governance policies, access controls, and security best practices, fully utilizing GCP's native security features to protect sensitive data. Data Workflow Orchestrator: Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as a Code (IaaC). Performance Optimization Driver: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness. Collaborative Innovator: Collaborate effectively with data architects, application architects, service owners, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering. Automation & Reliability Advocate: Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency. Effective Communicator: Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment. Continuous Learner: Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities. Business Impact Translator: Translate complex business requirements into optimized data asset designs and efficient code, ensuring that our data solutions directly contribute to business goals. Documentation & Knowledge Sharer: Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.

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Skills

Amazon Data Pipeline
Python
SQL
Google Cloud
BigQuery
Workflow
IBM Terraform
Data engineering
Documentation
Collaboration

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