Data Engineer III

GM Financial

4

(3)

Multiple Locations

Why you should apply for a job to GM Financial:

  • 4/5 in overall job satisfaction
  • 5/5 in supportive management
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • We offer 12 weeks of paid parental leave for our team members to care for and bond with their new family member.
  • Our Women's Inspiration Network (WIN) supports the recruitment, retention and professional development of women across our organization.
  • Our programs provide the support, flexibility and resources for women returning to their careers after a break.
  • #1859

    Position summary

    hat 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.

    #LI-Hybrid

    #LI-MH1

    #GMFJobs

    Why you should apply for a job to GM Financial:

  • 4/5 in overall job satisfaction
  • 5/5 in supportive management
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • We offer 12 weeks of paid parental leave for our team members to care for and bond with their new family member.
  • Our Women's Inspiration Network (WIN) supports the recruitment, retention and professional development of women across our organization.
  • Our programs provide the support, flexibility and resources for women returning to their careers after a break.