Vehicle Data Diagnostics & Cloud Systems Engineer

Jobtailor

Dearborn (MO)

On-site

USD 95,000 - 130,000

Full time

9 days ago

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Job summary

Jobtailor is seeking an engineer to design and manage algorithms that analyze vehicle data streams to identify root causes of systemic issues. You will define data acquisition needs for onboard modules and ensure data capture for diagnostics while building Python scripts to query and categorize data from AWS and Google Cloud repositories.

You will also analyze CAN logs, run complex queries on large datasets, and develop cloud-native tools to enable rapid root cause analysis, improving product

Qualifications

  • Bachelor’s degree in a related field as required.
  • 3 years of relevant experience in the offered role.
  • 3 years diagnosing 12-volt battery drainage or warranty claims using structured methods.
  • 2 years using Vector CAN tools to analyze CAN logs.
  • 2 years developing Python scripts for data analysis and automation.
  • 2 years testing and validating complex vehicle systems.
  • 1 year experience with automotive electrical architecture and cloud diagnostics.
  • 1 year experience with cloud telemetry and standardized service processes.
  • 1 year experience with 12V energy management in software-defined vehicles.
  • 1 year experience querying large datasets from Azure Data Explorer, AWS, or Google Cloud.
  • Must be legally authorized to work in the United States.

Responsibilities

  • Engineer and manage algorithms to analyze vehicle data streams for issue root causes.
  • Analyze system behaviors and define data acquisition requirements for onboard modules.
  • Ensure necessary vehicle data is captured for diagnostics.
  • Develop Python scripts for automated querying and data categorization from cloud repositories.
  • Analyze vehicle CAN logs to diagnose behavioral faults and performance anomalies.
  • Execute complex queries on massive vehicle-fleet datasets.
  • Identify patterns, correlations, and unusual behavioral trends.
  • Design and maintain cloud-native tools and analytics platforms.
  • Enable teams to perform rapid root cause analysis, reducing diagnostic time.

Skills

Python Scripting
Data Analysis
Vector CAN Tools
Cloud-Based Diagnostics
12V Electrical Systems

Education

Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Data Science, or Computer Science

Tools

AWS
Google Cloud
Azure Data Explorer
Cloud-Native Tools
Analytical Platforms

Job description

Jobtailor is seeking an engineer to design and manage algorithms that analyze vehicle data streams to identify root causes of systemic issues. You will define data acquisition needs for onboard modules and ensure data capture for diagnostics while building Python scripts to query and categorize data from AWS and Google Cloud repositories.

You will also analyze CAN logs, run complex queries on large datasets, and develop cloud-native tools to enable rapid root cause analysis, improving product

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