Manager - Data Engineering

Location: Arlington, TX, United States; Hybrid

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

This role designs and supports scalable data engineering solutions that power analytics, machine learning, and search applications. It focuses on building and optimizing large-scale data pipelines using batch and streaming technologies. The position partners with technical and business teams to evaluate emerging technologies, define data architecture, and deliver reliable data platforms. Responsibilities include coding, deployment, monitoring, troubleshooting, mentoring developers, and driving continuous innovation and operational efficiency.