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Ford Motor Company

Diagnostics & Data Systems Engineer

Ford Motor Company

Diagnostics & Data Systems Engineer analyzing Ford vehicle data, CAN logs, and electronic-system faults. Building cloud-native Python tools to accelerate root-cause analysis and improve vehicle quality.

Posted 8/12/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $109,454 - $169,531 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in analyzing vehicle data streams and diagnosing complex system behaviors using advanced analytical techniques. Proficient in developing Python scripts for data automation and utilizing cloud technologies for effective diagnostics and root cause analysis.

Highest-signal resume keywords
Python ScriptingData AnalysisVector CAN ToolsCloud-Based Diagnostics12V Electrical Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Acquisition RequirementsAutomated QueryingStatistical Pattern IdentificationComplex Query ExecutionBehavioral Fault DiagnosisProcess AutomationSoftware TestingTesting and ValidationRoot Cause AnalysisQuality Methodologies
Tools & Technologies
AWSGoogle CloudAzure Data ExplorerCloud-Native ToolsAnalytical Platforms
Industry Keywords
Mechanical EngineeringElectrical EngineeringData ScienceController Area NetworkAutomotive Electrical ArchitectureEnergy Management SystemsWarranty Claims12-Volt Battery DrainageRemote TelemetrySoftware-Defined Vehicles

Tech Stack

Tools & technologies
AWSAzureCloudPython

About the role

Key responsibilities & impact
  • Engineer and manage algorithms that automatically analyze vehicle data streams to identify, predict, and determine root causes of systemic issues in integrated electronic and software systems
  • Analyze system behaviors and potential failure modes to define and document data acquisition requirements for onboard vehicle modules
  • Ensure necessary vehicle data is captured for effective analysis and diagnostics
  • Develop Python scripts for automated querying, collection, and categorization of data from AWS and Google Cloud repositories
  • Analyze vehicle CAN communication logs to diagnose complex behavioral faults and performance anomalies
  • Execute complex queries and advanced analytical techniques on massive vehicle-fleet datasets
  • Identify statistical patterns, correlations, and unexpected behavioral trends
  • Design, implement, and maintain cloud-native tools and analytical platforms
  • Enable engineering and quality teams to perform rapid root cause analysis, reducing diagnostic time and improving product quality

Requirements

What you’ll need
  • Bachelor’s degree or foreign equivalent in Mechanical Engineering, Electrical Engineering, Data Science, Computer Science, or a related field
  • 3 years of experience in the job offered or a related occupation
  • 3 years of experience diagnosing and resolving 12-volt battery drainage or warranty claims using structured quality methodologies, including 3-Legged 5-Why analysis
  • 2 years of experience utilizing Vector CAN tools to analyze Controller Area Network logs
  • 2 years of experience developing scripts and applications for data analysis, process automation, and software testing using Python
  • 2 years of experience conducting testing and validation of complex vehicle systems
  • 1 year of experience with automotive electrical architecture and cloud-based diagnostics
  • 1 year of experience supporting cloud diagnostics, remote telemetry, and standardized service processes
  • 1 year of experience with 12V electrical and energy management systems in software-defined vehicles
  • 1 year of experience querying and analyzing large datasets from Azure Data Explorer, AWS, or Google Cloud
  • Must be legally authorized to work in the United States

Benefits

Comp & perks
  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time