Senior Data Engineer

General Motors of Canada; Mountain View (CA); Hybrid; USD 230,000 - 281,000; Full time

Benefits offered by this job

Hybrid work schedule

Bonus potential

Job summary

General Motors is seeking a data-focused engineer to advance telemetry and diagnostic analytics for 12V and HV batteries, vehicle mechatronics, and software-defined vehicles. You will build models, dashboards, and analytics to support warranty analyses and program decisions.

The role requires deep SQL/Big Data experience, proficiency in Python/R, and strong cloud data pipelines on Azure Databricks, with hands-on work in PowerBI/Tableau for insights. Hybrid in-office/remote, with travel.

Qualifications

• Bachelor's degree in data science, computer engineering, electrical engineering, computer science, software engineering, or related field; 5 years of experience as Data Engineer/Analyst/Software Engineer or
• Master's degree with 3 years of related experience; 3 years with Azure Cloud Platform and Databricks; strong data analytics and modelling skills.

Responsibilities

• Develop and maintain data models and analytics dashboards for vehicle telemetry and warranty data.
• Research and architect AI/ML solutions for big data in automotive context.
• Design and optimize cloud-native data pipelines on Azure Databricks with Spark-based ETL/ELT.
• Collaborate across teams to drive pattern recognition and root-cause analysis in SDV programs.

Skills

Excel VBA

Python/R

C++

C#

Java

MATLAB

Big data analytics

Education

Bachelor's degree in data science, computer or electrical engineering, software engineering or related field

Master's degree in data science, computer engineering, electrical engineering, computer science, software engineering or related field

Tools

Azure Databricks

PowerBI

Tableau

NeoVI / VDR

Job description

Job Description

DUTIES:

Build expertise in data related to 12V and HV batteries, Power Modes, Vehicle Cockpit Unit, Active and Passive Safety, Body Electronics as GM transitions to Software Defined Vehicles (SDV) with a goal to 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 to drive pattern recognition, and advanced algorithm and model development. Research, propose, and architect new solutions with the company’s Big data infrastructure and tools to build automation to find, root cause and show impact analysis of issues. Design, manage, and maintain models (Heuristics based and AI/ML), software, analytical cubes, analytical reports/dashboards. 10% domestic travel required. Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.

REQUIREMENTS

Bachelor's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field of study and Five (5) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation OR Master's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field of study and Three (3) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation. Three (3) years of experience with: Microsoft Excel and Excel-based Visual Basic programming language; Python/R and programming languages including C++, C#, Java, and MATLAB; Software development lifecycle and standard tools including IDEs and Version Control; and Developing products and maintaining them in production. Two (2) years of experience with: Azure Cloud Platform and Databricks; Statistical analysis and modelling using big data; Visualization tools including PowerBI and Tableau; GenAI and LLMs in the automotive industry to automate product health management; 12V and HV battery, vehicle mechatronics and vehicle architectures including software defined vehicles; Large automotive datasets including vehicle telemetry data from vehicle mechatronics, vehicle test tool (NeoVI, VDR) data, Vehicle Management and warranty data for building AI/ML models, automation and visualization tools; and Designing and optimizing large scale, cloud native data pipelines and lakehouse architectures on Azure Databricks—spanning Spark-based ETL/ELT, real time vehicle telemetry processing, data modeling, quality frameworks, visualization, LLM/AI integration, performance tuning, and CI/CD automation—to support high volume automotive analytics and enterprise reporting.

Compensation:

• The expected base compensation for this role is $255,757.00 to $255,757.00 Annually.
• Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

#LI-DNI

About GM

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