GM Financial · 22 hours ago
Data Engineer II - Digital Technology
Fort Worth, TX
Full-time
Hybrid
Entry, Mid Level
2+ years expGM Financial is committed to AI-powered transformation and digital innovation in the financial sector. The Data Engineer II will focus on expanding data technologies for decision support, engaging with teams to explore and deploy technologies for creating and processing large data sets, and contributing to the development of scalable analytic data systems.
Finance
Responsibilities
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
Contribute to the definition and refinement of processes and procedures for the data engineering practice
Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect and format data from the external sources, internal systems, and the data warehouse to extract features of interest
Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation
Qualification
Required
Experience with Adobe solutions (ideally Adobe Experience Platform, XDM, RTCDP DTM/Launch) and REST APIs
Digital technology solutions (DMPs, CDPs, Tag Management Platforms, Cross-Device Tracking, SDKs, etc.) Knowledge of Real Time-CDP and Journey Analytics solution
SQL experience: querying data and sharing what insights can be derived
Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management
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
Understanding of cloud computing technologies, business drivers and emerging computing trends
Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape
Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc
Strong background with source control management systems; Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps)
Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems
Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise
Creating and maintaining ETL processes
Knowledgeable of best practices in information technology governance and privacy compliance
Troubleshoot complex problems and work across teams to meet commitments
Excellent computer skills and proficiency in digital data collection
Ability to work in an Agile/Scrum team environment
Strong interpersonal, verbal, and writing skills
Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses
Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
Understanding of GDPR, privacy & security topics
Strong in the use of Microsoft Office software, data querying platforms (Databricks is a plus) and statistical programming tools such as Python
2-4 years of hands-on experience with data engineering required
Bachelor's degree in related field or equivalent experience required
Benefits
401K matching
Bonding leave for new parents (12 weeks, 100% paid)
Tuition assistance
Training
GM employee auto discount
Community service pay
Nine company holidays
Company
GM Financial
GM Financial is the captive finance company and a wholly-owned subsidiary of General Motors Company.
5001-10000 employees
H1B Sponsorship
GM Financial has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (101)
2024 (91)
2023 (86)
2022 (81)
2021 (55)
2020 (50)
Funding
Current Stage
Late StageTotal Funding
unknown2010-09-29Acquired
Leadership Team
Katie DeGraaf
Senior Vice President, OnStar Insurance, Product & Telematics
Ross Reichardt
Chief of Staff; General Motors Insurance
Recent News
2025-11-12
2025-11-04
2025-10-10
Company data provided by crunchbase