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Data Engineer
Ford Motor Company. Design, build, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and delivering data into Google BigQuery and other cloud data platforms .
Posted 9/24/2026full-timeRemote • Michigan • United StatesMid-LevelSenior💰 $115,000 - $192,900 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines and RESTful/GraphQL APIs, with a strong focus on data governance, performance optimization, and collaboration across teams. Proficient in Python, SQL, and Google BigQuery, ensuring data quality and reliability through effective monitoring and testing practices.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentGoogle BigQuery OptimizationRESTful/GraphQL API DesignData Governance and SecurityPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT DevelopmentPythonSQLGoogle BigQueryRESTful APIGraphQL APIData ModelingData Quality ChecksSemantic Layer ManagementCost Management
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
FastAPIFlaskNode.jsDbtLookMLLookerCube.jsAtScale
Industry Keywords
Data EngineeringSoftware EngineeringData GovernanceMetadata ManagementData Discoverability
Tech Stack
Tools & technologiesBigQueryCloudETLFlaskGraphQLJavaJavaScriptKotlinNode.jsPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and delivering data into Google BigQuery and other cloud data platforms
- Develop, document, and maintain RESTful/GraphQL APIs for internal applications, dashboards, and third-party consumers
- Design and manage a semantic data layer that translates raw data into consistent, business-friendly metrics and definitions
- Implement and maintain a data catalog/knowledge catalog for data discoverability, lineage tracking, and metadata management
- Optimize BigQuery performance through partitioning, clustering, query tuning, and cost-management practices
- Build data quality checks, monitoring, and alerting to ensure pipeline reliability and data trustworthiness
- Collaborate with analytics, product, and engineering teams to gather requirements and create scalable data models and API contracts
- Enforce data governance, security, and access-control standards, including PII handling, role-based access, and encryption
- Write clean, well-tested, maintainable Python/SQL and backend API code
- Participate in code reviews, architecture discussions, and CI/CD pipeline development
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field or equivalent combination of relevant education and experience
- 5+ years of experience in data engineering, software engineering, or a full-stack data role
- 3+ years demonstrating strong programming skills in Python, Kotlin, and Java
- 3 years of hands-on experience with Google BigQuery, including data modeling, query optimization, cost management, and scheduled queries
- 3+ years of experience designing and building REST and/or GraphQL APIs using FastAPI, Flask, Node.js/Express, or similar
- 3 years of experience building and maintaining a semantic layer such as dbt, LookML/Looker, Cube.js, or AtScale
- 2+ years of experience requiring strong understanding of testing, monitoring, reliability, and maintainable software design
- 2+ years of experience with SQL and structured data
- Must be legally authorized to work in the United States
- Visa sponsorship is not available
Benefits
Comp & perks- 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
- Family building benefits including adoption and surrogacy expense reimbursement and fertility treatments
- Vehicle discount program for employees and family members
- Management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off
- Option to purchase additional vacation time