Manager – Data Engineering
GM Financial
full-time
Posted on:
Location Type: Hybrid
Location: Fort Worth • Texas • United States
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Tech Stack
About the role
- Lead our expansion into modern data technologies that power advanced analytics, machine learning, and real time decision support.
- Guide the design and delivery of scalable batch and streaming data pipelines that create high quality datasets for search, analytics, and ML workloads.
- Oversee coding, testing, documentation, and operational excellence while establishing standards and processes that strengthen our end to end data engineering framework.
Requirements
- 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).
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
- nine company holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaScalaPythonKafkaHadoopSparkCassandraBashPerlRuby
Soft Skills
people leadershipteam management