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Senior Data Engineer – Vehicle Quality Engineering
General Motors. Develop and operationalize data science solutions identifying emerging vehicle, software, and product-quality issues .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and operationalizing data science solutions, including anomaly detection and analytical pipelines, while effectively communicating findings to diverse audiences. Proficient in leveraging statistical analysis and machine learning techniques to address real-world business challenges.
Highest-signal resume keywords
Data EngineeringStatistical AnalysisMachine LearningPython ProgrammingSQL Querying
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisAnomaly DetectionForecastingClassificationAlgorithm DevelopmentData TransformationData ValidationAnalytical Pipeline DevelopmentDashboard CreationOperational Workflow Design
Soft Skills
CommunicationProblem-SolvingOwnershipJudgmentResponsiveness
Tools & Technologies
AzureData Visualization ToolsAnalytical ToolsData Monitoring ToolsProduction Support Tools
Industry Keywords
Product QualityVehicle EngineeringWarranty AnalysisDiagnostic DataFleet Behavior
Tech Stack
Tools & technologiesAzurePythonSQL
About the role
Key responsibilities & impact- Develop and operationalize data science solutions identifying emerging vehicle, software, and product-quality issues
- Partner with Product Quality, Warranty, Vehicle Engineering, software teams, and subject matter experts
- Define metrics, analytical objectives, thresholds, and decision criteria
- Analyze vehicle, software, warranty, diagnostic, fleet, and product-quality data for trends, anomalies, relationships, and emerging risks
- Design, test, and deploy anomaly-detection and pre-emptive-monitoring algorithms
- Build end-to-end analytical pipelines, dashboards, alerts, and operational workflows
- Create customer-focused visualizations for fleet, VIN, and software-version investigation
- Establish validation approaches using historical data, controlled testing, domain expertise, and real-world observations when appropriate
- Communicate findings, assumptions, limitations, and recommendations to technical and non-technical audiences
- Improve solution performance, scalability, reliability, usability, and cost efficiency
- Standardize analytical processes and adopt modern Azure-based technologies
- Support vehicle and software launches with readiness insights and analytical tools
- Document analytical methods, data lineage, operating procedures, and known limitations
- Contribute reusable patterns and best practices and mentor others
- Provide production support and continuously improve adoption and scalability
- Develop pre-emptive detection for product-quality issues and customer-impacting patterns
- Build algorithms for problematic charging conditions or stations
- Create dashboards and alerts for VIP vehicle concerns, launch readiness, fleet behavior, and production risks
- Integrate warranty, diagnostic, software, and operational data to improve detection confidence and business context
Requirements
What you’ll need- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
- 7+ years of data engineering/development or related experience
- Experience applying statistical analysis, machine learning, anomaly detection, forecasting, classification, or related data-science methods to real-world business or engineering problems
- Strong Python skills for data analysis, algorithm development, automation, and production-oriented data workflows
- Experience querying, transforming, validating, and analyzing large and complex datasets using SQL and modern data technologies
- Ability to take an analytical solution from problem definition through testing, deployment, monitoring, and continuous improvement
- Experience communicating analytical results and recommendations to stakeholders with different levels of technical expertise
- Strong data-quality mindset, including investigating discrepancies, assessing assumptions, and explaining limitations
- Demonstrated ownership, sound judgment, responsiveness, and ability to deliver work to completion in a cross-functional environment
- Must not require GM immigration sponsorship now or in the future
Benefits
Comp & perks- Relocation benefits may be available
- Medical insurance
- Dental insurance
- Vision insurance
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation and holidays
- Tuition assistance programs
- Employee assistance program
- GM vehicle discounts
- Incentive pay program based on company, job-level, and individual performance