Senior Data Platform Engineer

generalmotors; Austin (TX); Hybrid; USD 140,000 - 200,000; Full time

Job summary

General Motors seeks a Staff Engineer to lead data management initiatives, shaping master data, metadata, data models, and standards. The role involves assembling large, complex data sets to satisfy functional and non-functional requirements, and delivering scalable data pipelines that drive insights for customer acquisition and operational efficiency.

This hybrid position requires 3 days in-office, 2 days remote, reporting to the Austin area.

Qualifications

• Bachelor's or Master's degree in CS, Software/EE, or related field with relevant engineering experience.
• 5 years as Staff/Software Engineer or related role (Bachelors); 3 years with a Master's in related field.

Responsibilities

• Communicate and maintain Master Data, Metadata, Data Management Repositories, Logical Data Models, and Data Standards.
• Assemble large, complex data sets that meet business requirements.
• Identify, design, and implement internal process improvements for automation and scalability.
• Build industrialized analytic datasets and delivery mechanisms using the data pipeline to deliver insights.

Skills

Python

Java

C++

Scala

Education

Bachelor's degree

Master's degree

Tools

Hadoop

Spark

Kafka

Storm

Spark-Streaming

PostgreSQL

Cassandra

Job description

General Motors seeks a Staff Engineer to lead data management initiatives, shaping master data, metadata, data models, and standards. The role involves assembling large, complex data sets to satisfy functional and non-functional requirements, and delivering scalable data pipelines that drive insights for customer acquisition and operational efficiency.

This hybrid position requires 3 days in-office, 2 days remote, reporting to the Austin area.