GM Financial · 22 hours ago
Manager - Data Engineering
Fort Worth, TX
Full-time
Hybrid
Mid, Senior Level
5+ years expGM Financial is committed to innovation in technology, focusing on AI-powered transformation and advanced data solutions. As the Manager of Data Engineering, you will lead the design and delivery of scalable data pipelines and oversee the development of data products that support advanced analytics and machine learning.
Finance
No H1B
Responsibilities
Lead the design of governed, finance critical data products and develop scalable batch/streaming pipelines using Azure Databricks, Delta Lake, Spark, and Python/Scala
Engineer high quality datasets to support FP&A, Oracle Fusion workflows, GenAI Finance Assistant use cases, and advanced analytics—leveraging strong SQL and data modeling skills
Apply deep expertise in distributed systems (Hadoop, Spark), NoSQL stores (Cassandra, HBase, MongoDB), and messaging/streaming platforms like Kafka
Utilize cloud and DevOps technologies including Azure, Docker/Kubernetes, and automation tools such as Ansible, Chef, or Puppet to modernize and optimize data engineering workflows
Oversee coding, testing, deployment, monitoring, and troubleshooting across pipelines while defining engineering standards and ensuring operational reliability
Provide strong technical leadership—mentoring engineers, conducting code reviews, driving solutions, and collaborating effectively across engineering and Finance teams
Qualification
Required
Bachelor's degree in a related field—or equivalent professional or military experience (required)
5–7 years of software engineering with Java, Scala, and Python, plus experience processing large scale data using technologies like Kafka, Hadoop, Spark, or Cassandra
3–5 years of hands on scripting experience (Bash, Perl, or Ruby) and working with Kafka based or NoSQL systems (HBase, Solr, Hue)
2–4 years working with ETL/BI tools such as Informatica, DataStage, Ab Initio, Cognos, BusinessObjects, or Oracle BI
2–3 years of strong SQL skills and experience with relational databases (Oracle, DB2, Postgres), plus proven success with NoSQL platforms (e.g., MongoDB, Cassandra, Redis)
Lead the design of governed, finance critical data products and develop scalable batch/streaming pipelines using Azure Databricks, Delta Lake, Spark, and Python/Scala
Engineer high quality datasets to support FP&A, Oracle Fusion workflows, GenAI Finance Assistant use cases, and advanced analytics—leveraging strong SQL and data modeling skills
Apply deep expertise in distributed systems (Hadoop, Spark), NoSQL stores (Cassandra, HBase, MongoDB), and messaging/streaming platforms like Kafka
Utilize cloud and DevOps technologies including Azure, Docker/Kubernetes, and automation tools such as Ansible, Chef, or Puppet to modernize and optimize data engineering workflows
Oversee coding, testing, deployment, monitoring, and troubleshooting across pipelines while defining engineering standards and ensuring operational reliability
Provide strong technical leadership—mentoring engineers, conducting code reviews, driving solutions, and collaborating effectively across engineering and Finance teams
Preferred
0–2 years of people leadership or team management experience in data engineering (preferred)
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
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