GM Financial

Manager - Data Engineering

GM Financial · Irving, Texas, United States

Motor Vehicle Manufacturing · 10,001+ employees

8 h ago
Senior (5-10 yrs) Full-time United States
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About the role

This role designs and supports scalable data engineering solutions, including building and optimizing large-scale data pipelines using batch and streaming technologies. The manager will also lead a team, mentor developers, and partner with business units to define data architecture and drive operational efficiency.

What they look for

Data engineering Java Scala Python Hadoop Spark Kafka SQL Data modeling NoSQL Cloud computing Azure Kubernetes ETL Machine learning Automation

Requirements

Candidates must have 5-7 years of software engineering experience with Java, Scala, and Python, along with significant experience processing large data sets using distributed systems. A Bachelor's degree in a related field or equivalent work experience is required.

Benefits

401k matching Bonding leave for new parents Tuition assistance Training GM employee auto discount Community service pay Nine company holidays

Full description

Why GM Financial Technology

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

Work Arrangement: Hybrid – 2 days onsite, 3 days remote per week