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Senior Data Engineer
General Motors. Build expertise in data related to 12V and HV batteries, Power Modes, Vehicle Cockpit Unit, Active and Passive Safety, and Body Electronics as GM transitions to Software Defined Vehicles .
Posted 10/27/2026full-timeMountain View • California • United StatesSenior💰 $255,757 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in data analysis and algorithm development for automotive applications, with a strong focus on big data infrastructure, cloud platforms, and vehicle telemetry. Proficient in designing and optimizing data pipelines and utilizing advanced statistical modeling and visualization tools.
Highest-signal resume keywords
Data AnalysisBig Data InfrastructurePython/R ProgrammingAzure Cloud PlatformVehicle Telemetry
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 EngineeringStatistical AnalysisAlgorithm DevelopmentSoftware Development LifecycleExcel-Based Visual Basic ProgrammingC++ ProgrammingC# ProgrammingJava ProgrammingMATLAB ProgrammingGenAI and LLMs
Tools & Technologies
Power BITableauDatabricksIDE ToolsVersion Control
Industry Keywords
12V BatteriesHV BatteriesVehicle Cockpit UnitActive SafetyPassive SafetyVehicle MechatronicsSoftware-Defined VehiclesAutomotive IndustryLarge Automotive DatasetsCloud-Native Data Pipelines
Tech Stack
Tools & technologiesAzureCloudJavaPythonTableauC++
About the role
Key responsibilities & impact- Build expertise in data related to 12V and HV batteries, Power Modes, Vehicle Cockpit Unit, Active and Passive Safety, and Body Electronics as GM transitions to Software Defined Vehicles
- Provide immediate impact to drive vehicle program-level decisions, detect and resolve warranty issues, and benefit the company’s bottom line
- Develop next-generation vehicle telemetry-related diagnostic and prognostic algorithms
- Utilize databases to house big data, analyze big data for pattern recognition, and develop advanced algorithms and models
- Research, propose, and architect new solutions using GM’s big data infrastructure and tools
- Build automation to find issues, determine root cause, and show impact analysis
- Design, manage, and maintain heuristic-based and AI/ML models, software, analytical cubes, analytical reports, and dashboards
- Travel domestically 10% of the time
Requirements
What you’ll need- Bachelor's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field and five (5) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation; OR Master's degree in one of these fields and three (3) years of such experience
- Three (3) years of experience with Microsoft Excel and Excel-based Visual Basic programming language
- Three (3) years of experience with Python/R and programming languages including C++, C#, Java, and MATLAB
- Three (3) years of experience with software development lifecycle and standard tools including IDEs and version control
- Three (3) years of experience developing products and maintaining them in production
- Two (2) years of experience with Azure Cloud Platform and Databricks
- Two (2) years of experience with statistical analysis and modeling using big data
- Two (2) years of experience with visualization tools including Power BI and Tableau
- Two (2) years of experience with GenAI and LLMs in the automotive industry
- Two (2) years of experience with 12V and HV batteries, vehicle mechatronics, and vehicle architectures including software-defined vehicles
- Two (2) years of experience with large automotive datasets, including vehicle telemetry, vehicle test tool (NeoVI, VDR), Vehicle Management, and warranty data
- Two (2) years of experience designing and optimizing large-scale, cloud-native data pipelines and lakehouse architectures on Azure Databricks
- Must be able to report to the local office
- Ability to complete applicable role-related assessments and/or pre-employment screening
Benefits
Comp & perks- Bonus potential through an incentive pay program based on company performance, job level, and individual performance
- Benefits supporting well-being at work and at home
- Reasonable accommodation support for applicants with disabilities