Ford Motor Company · 1 day ago
Full Stack Data Engineer
Dearborn, MI
Full-time
Hybrid
Senior Level
5+ years expFord Motor Company is seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role in the development and maintenance of their Enterprise Data Platform. The role involves designing, building, and optimizing scalable data pipelines within the Google Cloud Platform environment, ensuring data governance, security, and optimal performance.
AutomotiveAutonomous VehiclesManufacturingTransportation
Responsibilities
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/Dataform, 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 Code (IaC)
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
Qualification
Required
Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience)
5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred)
Strong proficiency in SQL, Java, and Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery, Dataflow, and DataProc
Solid understanding of Service-Oriented Architecture (SOA) and microservices, and their application within a cloud data platform
Experience with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases, and columnar databases (e.g., BigQuery)
Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments
Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks
Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data platform and microservices issues
Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc)
A passion for data, innovation, and continuous learning
Benefits
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.
Company
Ford Motor Company
We don't just make history -- we make the future.
10001+ employees
H1B Sponsorship
Ford Motor Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (980)
2024 (810)
2023 (662)
2022 (970)
2021 (630)
2020 (364)
Funding
Current Stage
Public CompanyTotal Funding
$16.23BKey Investors
US Department of EnergySoros Fund Management
2025-07-29Post Ipo Debt· $3B
2023-08-17Post Ipo Debt· $4B
2023-06-22Debt Financing· $9.2B
Leadership Team
James Farley
Chief Executive Officer
Efrat Barit
COO
Recent News
2026-01-09
Company data provided by crunchbase