Overview 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-plus 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 an 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, in LATAM, Europe, China, U.S. and Canada – 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, dealers and business. This is a hybrid role (2 days in Irving or Arlington, TX office, 3 days work from home) We are not able to support visa sponsorship at this time. Responsibilities 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. What makes you an ideal candidate? Work with internal business partners to identify, capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques Coordinate with Privacy Compliance to ensure proper data collection and handling Create and implement business rules and functional enhancements for data schemas and processes Perform data load monitoring and resolution Support internal business clients to problem solve data availability and activation issues Ability to work in an Agile/Scrum team environment Qualifications Experience and Education Bachelor’s Degree in related field or equivalent work experience required 2-4 years of hands-on experience with data engineering required 2-4 years of hands-on experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems is required. 2-4 years of hands-on experience with SQL, data modeling, relational databases and/or no SQL databases required Bachelor’s Degree in related field or equivalent work experience required Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation Proficient with programming concepts and languages including SQL and Python/PySpark Experience with REST APIs Working knowledge of Databricks platform and associated features including workflows, unity catalog, delta live tables, time travel, SQL statement execution API, etc Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc 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, Texas Please note we are not able to support visa sponsorship at this time. #LI-Hybrid #LI-MH1