Senior Vehicle Data Engineer – Real-Time AI & Cloud

General Motors Africa & Middle East; Austin (TX); Hybrid; USD 125,000 - 192,000; Full time

Job summary

General Motors Africa & Middle East is seeking a Senior Data Engineer in Austin, TX for a hybrid role. You will design, build, and operate data products converting connected-vehicle signals into trusted insights and proactive experiences.

You will work across real-time streaming, cloud platforms, APIs, analytics, and AI to deliver secure, scalable data capabilities. The ideal candidate leads technically, moves from architecture to production, and collaborates with product, software, vehicle,

Qualifications

• Bachelor’s degree in a related technical field or equivalent experience.
• 5+ years of professional experience in data engineering or distributed systems.
• Strong hands-on experience with Java or Python, SQL, OO design, data structures, algorithms, and automated testing.
• Experience designing and operating production data pipelines using Flink, Spark, Kafka, or comparable streaming technologies.
• Cloud-native development on Azure and containers with Kubernetes.

Responsibilities

• Design and develop production-grade batch and real-time data pipelines for connected-vehicle telemetry and health indicators.
• Build streaming applications to ingest, enrich, validate, deduplicate, and publish event-driven data for downstream services.
• Develop data products using Java, Python, SQL, and Spark/Flink.
• Work with Azure services (AKS, Event Hubs, Databricks, etc.) to deliver scalable data capabilities.
• Design APIs and event models using GraphQL, REST, and gRPC; ensure data contracts and privacy.

Skills

Java

Python

SQL

Distributed systems

Automated testing

Data engineering

Technical leadership

Education

Bachelor’s degree in CS/CE/Data Eng

Tools

Azure Kubernetes Service

Azure Data Explorer

Databricks

GraphQL

REST

Kafka

Job description

General Motors Africa & Middle East is seeking a Senior Data Engineer in Austin, TX for a hybrid role. You will design, build, and operate data products converting connected-vehicle signals into trusted insights and proactive experiences.

You will work across real-time streaming, cloud platforms, APIs, analytics, and AI to deliver secure, scalable data capabilities. The ideal candidate leads technically, moves from architecture to production, and collaborates with product, software, vehicle,