Data Engineer III

JOB DESCRIPTION

Why GMF 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.

About this role:
Please note we are not able to support visa sponsorship either now or in the future.

As a senior-level Data Engineer III, you will design and implement sophisticated data pipelines and platforms that power analytics across the organization. You'll drive engineering excellence through deep technical expertise, hands-on development, and a strong understanding of modern data architectures. This role works independently on complex challenges, partners with cross-functional teams, and contributes to the evolution of our data engineering standards and best practices.

RESPONSIBILITIES

What makes you an ideal candidate:

• Architect, build, and maintain advanced ETL/ELT pipelines and large-scale data workflows
• Design high-performance, scalable data models optimized for both operational and analytical use
• Implement rigorous data quality frameworks, validation processes, and monitoring mechanisms
• Collaborate with data scientists, analysts, and engineering teams to deliver enterprise data solutions
• Lead technical investigations, root-cause analysis, and performance tuning across distributed system
• Strengthen data security, access controls, and governance practices within modern cloud environments
• Develop and maintain comprehensive documentation and architectural guidance for long-term scalability

QUALIFICATIONS

Experience

• Bachelor's degree in related field or equivalent experience required.
• 4-6 years of progressive experience in data engineering or a closely related field required.
• Significant hands-on experience supporting large-scale, distributed data environments
• Practical experience with Big Data technologies such as Databricks, Spark, or Delta Lake
• 0-2 years of experience with Azure or cloud-based data engineering solutions
• Track record of delivering complex ETL/ELT solutions in production environments
• Proven ability to optimize data models, storage layers, and compute performance
• Strong background implementing data quality, validation, and monitoring frameworks
• Proficient with SQL, Python, and cloud-native engineering practices
• Experience contributing to cross-functional projects and influencing technical decisions

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility
Work Life Balance: Flexible hybrid work environment, minimum of 2-days a week in Las Colinas, TX office
Please note we are not able to support visa sponsorship either now or in the future.

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Client-provided location(s): Irving, TX, Arlington, TX

Job ID: GM_Financial-1859

Employment Type: FULL_TIME

Posted: 2026-03-05T19:53:57