Senior Data Engineer, Telemetry Platform (Hybrid)

General Motors Corporation; Austin (TX); Hybrid; USD 129,000 - 169,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Health Savings Account

Flexible Spending Accounts

Retirement savings plan

Paid vacation & holidays

Tuition assistance

Employee assistance program

GM vehicle discounts

Job summary

General Motors seeks a Senior Data Engineer to build and operate the telemetry data platform powering connected vehicle analytics and AI at global scale. You will design and maintain large-scale batch and streaming pipelines using Databricks, Spark, Event Hubs, and cloud-native tech, ensuring data quality and observability across thousands of data products.

Ideal candidates bring 5+ years in data platforms and strong Python/Scala and SQL skills.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• 5+ years of experience building large-scale data platforms, distributed systems, or data engineering solutions.
• Strong hands-on experience with Spark and distributed data processing.
• Strong programming skills in Python or Scala and expert-level SQL.

Responsibilities

• Build and operate the telemetry data platform that powers connected vehicle analytics and AI at global scale.
• Develop batch and streaming solutions using Databricks, Spark, Event Hubs, and cloud-native technologies.
• Create reliable, production-grade data products supporting analytics, AI, and operations.
• Implement data quality, validation, monitoring, and observability capabilities.

Skills

Spark

Python/Scala

SQL

Databricks

Event Hubs

Kafka

CI/CD

IaC

Observability

Data quality

Distributed systems

Education

Bachelor's degree in CS/Software Eng/Data Eng

Tools

Databricks

Kafka

Event Hubs

Job description

General Motors seeks a Senior Data Engineer to build and operate the telemetry data platform powering connected vehicle analytics and AI at global scale. You will design and maintain large-scale batch and streaming pipelines using Databricks, Spark, Event Hubs, and cloud-native tech, ensuring data quality and observability across thousands of data products.

Ideal candidates bring 5+ years in data platforms and strong Python/Scala and SQL skills.