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Why GMF Technology?GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization – we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-long history. We are data junkies and trust in data and insights to advance our business objectives.
We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as the auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world.
We are building global platforms, LATAM, Europe, China – and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers and business.
About the role: We are expanding our efforts into complementary data technologies for decision support in areas of ingesting and processing large data sets including data commonly referred to as semi-structured or unstructured data. Our interests are in enabling data science and search-based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine-based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, collaborating on the selection of data solutions software, and contributing to the identification of hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring. This role participates along with team counterparts to develop solutions in an end-to-end framework on a group of core data technologies.
JOB DUTIES
What makes you a dream candidate?
Additional Skills
Experience and Education
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, 2-days a week in office in Irving, TX
#LI-SC1
Full Time
Investment Management
$113k-139k (estimate)
05/22/2024
05/20/2025
gmfinancial.com
AUSTIN, TX
7,500 - 15,000
1992
Public
ANGELA I GARDNER
$10B - $50B
Investment Management
GM Financial is a financial services firm that provides commercial lending and auto financing solutions for individuals and businesses.
The job skills required for Data Engineer include SQL, Python, Data Engineering, AWS, Big Data, Data Warehouse, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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The data engineer develops and maintains the enterprise data framework for continued use.
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