Data Engineer

Ford Motor Company

Data Engineer building scalable connected-vehicle data pipelines and AI/MLOps solutions for Ford’s electric-vehicle organization. Supporting telemetry, observability, data quality, and vehicle improvements.

Posted 8/15/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $99,600 - $162,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and product development, with a strong focus on building scalable data pipelines and integrating cloud technologies. Proficient in translating complex vehicle engineering challenges into AI/ML solutions while ensuring data quality and effective collaboration across teams.

Highest-signal resume keywords

Data EngineeringCloud Data EngineeringMLOps PipelinesData Quality SystemsAI/ML Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonSparkScalaSQLData WarehousingMicroservices ArchitectureREST APIsReal-Time StreamingData Product Development

Soft Skills

Innovative Problem-SolvingMentoring

Tools & Technologies

GCPAWSVertex AIAirflowCloud RunMySQLPostgreSQLSQL ServerApache KafkaGCP Pub/Sub

Industry Keywords

Connected Vehicle SoftwareData ArchitectureData TransformationData AnalyticsDevOps

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudDockerGoogle Cloud PlatformJavaKafkaMicroservicesMySQLPostgresPythonScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Collaborate across teams and internal organizations to develop a wider data architecture plan for Connected Vehicle Software
Work with data stewards and data owners to source and understand data and ensure effective data transformation practices
Streamline data acquisition, processing, and presentation with data analytics stakeholders
Analyze connected vehicle data to support new product development and production vehicle improvements
Design and build a Semantic Data layer to serve AI agents
Design and implement scalable data science and MLOps pipelines in GCP and AWS
Integrate cloud technologies and AI tools such as Vertex AI into workflows
Translate vehicle engineering problems into mathematical representations and AI/ML solutions
Develop and maintain data quality systems across the development lifecycle
Build pipelines monitoring data quality and analytical model and agentic solution performance
Translate technical work for diverse stakeholders and mentor junior data engineering team members

Requirements

What you’ll need

Master’s degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience; or equivalent education and experience, including 6+ years with a bachelor’s degree
4 years of professional experience in data engineering, data product development, and software product launches
Proficiency in at least three of Java, Python, Spark, Scala, and SQL
3 years of cloud data/software engineering experience building scalable, reliable, cost-effective batch and streaming production pipelines
Experience with data warehouses such as Amazon Redshift, Microsoft Azure Synapse Analytics, and Google BigQuery
Experience with workflow orchestration tools such as Airflow and Cloud Run
Experience with relational databases including MySQL, PostgreSQL, and SQL Server
Experience with real-time streaming platforms including Apache Kafka and GCP Pub/Sub
Experience with microservices architecture for large-scale real-time data processing
Experience with REST APIs for compute, storage, operations, and security
Experience with DevOps tools including Tekton, GitHub Actions, Git, GitHub, Terraform, and Docker
Experience with Atlassian JIRA
Comfort working in ambiguous environments requiring innovative problem-solving
Candidates 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
Adoption and surrogacy expense reimbursement
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