Remote/Hybrid Software Engineer — Data-Driven Mobility

General Motors; Santa Fe (NM); Remote; USD 120,000 - 150,000; Full time

Job summary

General Motors is seeking a software engineer focused on analytics to join our Advanced Analytics team. You will contribute to end‑to‑end feature development, build Python services and TypeScript/React interfaces, and shape data pipelines across engineering systems.

As the embedded data software engineer, you will collaborate with data scientists and scale solutions using Kubernetes on Azure, CI/CD, and IaC, delivering reliable, observable production services for vehicle programs.

Responsibilities

• Contribute as part of a cross‑functional team to propose and implement data‑driven software and analytic solutions for engineering organizations.
• Build and deliver end‑to‑end features, including Python services, relational data models, and TypeScript/React interfaces.
• Develop and maintain data pipelines that integrate GM’s engineering systems of record into applications and data products.
• Collaborate with data scientists to operationalize analytical work and deliver it to end users through scalable products.
• Deploy and operate production systems using Kubernetes on Azure, CI/CD workflows, infrastructure as code, and modern observability practices.
• Partner with stakeholders across vehicle hardware, software and electronics, supplier quality, warranty, and program management.

Skills

Python

React

TypeScript

SQL

Data pipelines

Tools

Kubernetes

Azure

Databricks

CI/CD

Job description

General Motors is seeking a software engineer focused on analytics to join our Advanced Analytics team. You will contribute to end‑to‑end feature development, build Python services and TypeScript/React interfaces, and shape data pipelines across engineering systems.

As the embedded data software engineer, you will collaborate with data scientists and scale solutions using Kubernetes on Azure, CI/CD, and IaC, delivering reliable, observable production services for vehicle programs.