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Ford Motor Company

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 fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
BigQueryCloudETLFlaskGraphQLJavaJavaScriptKotlinNode.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