Manager - Data Engineering

GM Financial • Fort Worth, TX

1d • Hybrid

About The Position

Why GMF Technology? Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry. Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact. About this role: We are unable to provide any type of visa sponsorship either now or in the future for this position. As the Manager of Data Engineering, you’ll lead our expansion into modern data technologies that power advanced analytics, machine learning, and real time decision support. You’ll guide the design and delivery of scalable batch and streaming data pipelines that create high quality datasets for search, analytics, and ML workloads. Working closely with a collaborative engineering team, you’ll explore new tools, shape data architecture, and drive the adoption of automated, reliable data solutions. You’ll oversee coding, testing, documentation, and operational excellence while establishing standards and processes that strengthen our end to end data engineering framework. Responsibilities What makes you an ideal candidate: 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. Qualifications Experience: Bachelor’s degree in a related field—or equivalent professional or military experience (required). 0–2 years of people leadership or team management experience in data engineering (preferred). 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). 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 Ft. Worth, TX office We are unable to provide any type of visa sponsorship either now or in the future for this position. #LI-Hybrid #LI-MH1 #gmfjobs

Requirements

• 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).

Nice To Haves

• 0–2 years of people leadership or team management experience in data engineering (preferred).

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.

Benefits

• 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.
• Competitive pay and bonus eligibility
• Flexible hybrid work environment, minimum of 2-days a week in Ft. Worth, TX office

What This Job Offers

• Job Type: Full-time
• Career Level: Manager