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Ford Motor Company
Ford Motor Company
H1B Visa SponsorConsultingLogisticsMarketing
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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Ford Data Engineer, Google Cloud

Build Google Cloud data pipelines and infrastructure for Ford Pro, turning commercial analytics into executive dashboards and strategic insights.

USUnited StatesMIMichigan
$85,400 – $143,200 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AirflowApacheBigQueryCloudGoogle Cloud PlatformPostgresPythonSQLTerraform

Description

  • Create and optimize data pipelines with Astronomer, Apache Airflow, and related orchestration tools.
  • Develop scalable ingestion, transformation, validation, and processing solutions for structured and semi-structured data.
  • Deploy and operate Google Cloud services, including BigQuery, Dataflow, and Cloud Run.
  • Use advanced SQL to extract, transform, analyze, and optimize large datasets.
  • Write maintainable Python for data transformation, automation, workflow development, and analysis.
  • Design and support data models, datasets, and reporting layers for business intelligence and analytics.
  • Provision and manage cloud infrastructure using Terraform and Infrastructure as Code.
  • Develop and maintain CI/CD automation with Tekton, GitHub, and related DevOps tools.
  • Establish data quality controls, monitoring, error handling, and operational support practices.
  • Create Looker Studio dashboards and reports that track KPIs and inform stakeholders.
  • Work with business teams and leaders to understand data needs and align data strategy with business goals.
  • Present technical findings and complex data insights as actionable guidance for nontechnical audiences.
  • Prepare executive-ready analyses, reports, and presentations using PowerPoint and Excel.
  • Take part in technical design sessions, Agile planning, peer reviews, and continuous improvement.
  • Advance data engineering standards, documentation, reusable patterns, and collaborative engineering practices.

Requirements

  • Bachelor’s degree or foreign equivalent in computer science, information technology, or a related technology field.
  • At least five years of professional experience in data engineering, data platform engineering, analytics engineering, or a related discipline.
  • Experience designing, building, deploying, and supporting scalable data pipelines and cloud-based data solutions.
  • Experience translating business stakeholders’ data needs into technical solutions and actionable insights.
  • Strong communication, analytical, problem-solving, and stakeholder management skills.
  • Ability to work independently and collaboratively in a cross-functional Agile delivery environment.
  • Strong SQL skills, including complex queries, performance tuning, and work with large datasets.
  • Hands-on experience with BigQuery and PostgreSQL, using pgAdmin or comparable tools.
  • Intermediate to advanced Python coding skills.
  • Hands-on Google Cloud Platform experience, including BigQuery, Dataflow, and Cloud Run.
  • Experience with Apache Airflow, Astronomer, or similar orchestration tools.
  • Experience provisioning cloud infrastructure with Terraform and Infrastructure as Code.
  • Experience with Tekton or comparable CI/CD technologies.
  • Experience with GitHub and Visual Studio Code.
  • Experience creating dashboards and visualizations with Looker Studio or similar BI tools.
  • Understanding of data quality, governance, cloud security, monitoring, and operational support.
  • Must be legally authorized to work in the United States.

Benefits

  • Medical, dental, and prescription drug coverage begins immediately.
  • Family care resources, parental leave, new-parent ramp-up programs, subsidized backup child care, and more.
  • Vehicle discount program for employees and family members, plus management leases.
  • Tuition assistance.
  • Active employee resource groups.
  • Paid leave for individual and team community service.
  • Paid holidays, including the week between Christmas and New Year’s Day.
  • Paid time off, with the option to purchase additional vacation time.
  • Visa sponsorship.

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Ford Motor Company

Data Engineer, Connected Vehicle Analytics — Ford Motor Company (Hybrid)

Ford Motor Company
H1B Visa SponsorConsultingLogisticsMarketing
USUnited StatesMIMichigan
$99,600 – $162,900 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AirflowAmazon RedshiftApacheAzureBigQueryCloudDockerGoogle Cloud PlatformJavaKafkaMicroservicesMySQLPostgresPythonScalaSparkSQLTerraform

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.

Open