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Ford Motor Company
Ford Motor Company
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Ford Motor Company is a United States-based automotive manufacturer with a history dating to 1903. In addition to developing and producing vehicles, the company is expanding its focus across mobility services, digital experiences, and software. Ford’s work also includes sustainability efforts and environmental targets, reflecting an approach that connects transportation, innovation, community impact, and responsible business practices.
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Data Engineer, Connected Vehicle Analytics — Ford Motor Company (Hybrid)

Build scalable cloud data products and pipelines for connected vehicle telemetry at Ford Motor Company. Support data quality, governance, observability, analytics, and production vehicle improvements.

USUnited StatesMIMichigan
$99,600 – $162,900 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AirflowAmazon RedshiftApacheAzureBigQueryCloudDockerGoogle Cloud PlatformJavaKafkaMicroservicesMySQLPostgresPythonScalaSparkSQLTerraform

Description

  • Build analytical data products with streaming and batch ingestion on Google Cloud Platform
  • Create pipelines that monitor data quality and the performance of analytical models and agentic solutions
  • Manage data platform infrastructure with Terraform and deliver software through CI/CD
  • Partner with analytics stakeholders to improve data acquisition, processing, and presentation
  • Implement enterprise governance for data protection, sharing, reuse, quality, and standards
  • Strengthen and maintain the data platform’s DevOps capabilities
  • Optimize data solutions for performance, security, vulnerability reduction, cost, and reliability
  • Contribute to an agile product team using TDD, continuous integration, and continuous deployment
  • Resolve code quality issues identified through SonarQube, Checkmarx, Fossa, and Cycode
  • Complete data mapping and lineage work while documenting information flows
  • Monitor production pipelines and provide SLA-aligned production support
  • Analyze connected vehicle data for new product development and production vehicle improvements
  • Surface data quality, vehicle, and feature issues and partner with business owners on resolution
  • Work across functions, explain technical work to stakeholders, and promote well-designed solutions
  • Mentor junior members of the data engineering team
  • Keep current with data engineering practices and help shape the company’s technical direction

Requirements

  • Master’s degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field plus 4 years of experience, or an equivalent combination of education and experience, including 6 or more years with a bachelor’s degree
  • At least 4 years of professional experience in data engineering, data product development, and software product launches
  • Professional experience with at least three of Java, Python, Spark, Scala, and SQL
  • At least 3 years of cloud data or software engineering experience developing scalable, reliable, cost-effective production batch and streaming pipelines
  • Experience with data warehouses including Amazon Redshift, Microsoft Azure Synapse Analytics, and Google BigQuery
  • Experience with workflow orchestration tools such as Airflow and Cloud Run
  • Experience with relational database systems including MySQL, PostgreSQL, and SQL Server
  • Experience with real-time streaming platforms such as Apache Kafka and Google Cloud Pub/Sub
  • Experience with microservices architecture
  • Experience using REST APIs for compute, storage, operations, and security
  • Experience with DevOps tools including Tekton, GitHub Actions, Git, GitHub, Terraform, and Docker
  • Experience with project management tools such as Atlassian JIRA
  • Ability to work effectively in ambiguous environments where problems may be undefined
  • Legal authorization to work in the United States; visa sponsorship is unavailable.
  • benefits_note

Benefits

  • Medical, dental, vision, and prescription drug coverage begins immediately
  • Flexible family care days
  • Paid parental leave
  • Programs to support new parents during their return to work
  • Subsidized backup child care
  • Adoption and surrogacy expense reimbursement
  • Fertility treatment coverage
  • Vehicle discount program for employees and family members
  • Management lease options
  • Tuition assistance
  • Active employee resource groups
  • Paid time off for individual and team community service
  • Paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off
  • Option to purchase additional vacation time

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