Full Stack Data Engineer

Ford Motor Company

. Design, build, and scale robust batch and streaming data pipelines on Google Cloud Platform to process large volumes of finance data .

Posted 9/18/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $99,600 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying scalable batch and streaming data pipelines on Google Cloud Platform, utilizing Terraform for Infrastructure as Code, and implementing data governance standards. Proficient in CI/CD methodologies and Test-Driven Development to ensure high-quality, reliable code.

Highest-signal resume keywords

Google Cloud Platform Data EngineeringTerraform Infrastructure as CodeCI/CD Pipeline DevelopmentData Warehousing PrinciplesTest-Driven Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingData GovernanceData Quality MonitoringAgile/Scrum MethodologiesBatch ProcessingStreaming Data ProcessingVersion ControlAutomated TestingCode Reviews

Soft Skills

Strong CommunicationCollaboration SkillsCustomer-Centric MindsetTroubleshootingOptimization

Tools & Technologies

SonarQubeCheckmarxFossaCycodeGoogle Cloud Platform Services

Industry Keywords

Finance DataData ProtectionData SharingData Lineage DocumentationProduction Support

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformTerraform

About the role

Key responsibilities & impact

Design, build, and scale robust batch and streaming data pipelines on Google Cloud Platform to process large volumes of finance data
Develop analytical data products using data warehouse principles, data modeling, and best practices
Maintain and enhance platform infrastructure using Terraform and Infrastructure as Code
Develop, evaluate, and deploy code through CI/CD pipelines
Partner with data analytics stakeholders to optimize data acquisition, processing, and presentation workflows
Implement enterprise data governance models, data protection, data sharing, standards, quality monitoring, and data lineage documentation
Write clean, reliable code using Test-Driven Development and address security vulnerabilities and code quality issues
Optimize pipelines, infrastructure, and data products for performance, security, reliability, and cost efficiency
Monitor production pipelines and provide timely production support in accordance with established SLAs
Stay current on modern data engineering practices, contribute to technical direction, and build finance data domain expertise

Requirements

What you’ll need

Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
6+ years of strong hands-on experience building and deploying data solutions on Google Cloud Platform
Proven experience designing, developing, and maintaining batch and streaming data ingestion pipelines at scale
3+ years of experience with continuous integration and continuous deployment methodologies and enhancing DevOps capabilities
Experience working in Agile/Scrum environments and collaborating with cross-functional teams
Strong hands-on experience with Google Cloud Platform services used for data engineering and analytics
Experience building scalable batch and streaming data pipelines
Proficiency with Terraform and Infrastructure as Code practices
Strong understanding of data warehousing principles, data modeling, data mapping, and analytical data product design
Experience with data lineage, data quality monitoring, and enterprise data governance standards
Experience with CI/CD pipelines, version control, automated testing, code reviews, and modern DevOps practices
Experience utilizing Test-Driven Development and writing clean, reliable, maintainable code
Familiarity with code quality and vulnerability scanning tools such as SonarQube, Checkmarx, Fossa, and/or Cycode
Strong communication and collaboration skills, including the ability to partner with business stakeholders and advocate for well-designed technical solutions
Customer-centric mindset with strong troubleshooting, optimization, and production-support capabilities
Candidates must be legally authorized to work in the United States

Benefits

Comp & perks

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
Visa sponsorship