Senior Data Engineer — Hybrid Telemetry & AI

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

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.