Hiring: Manager - Data Engineering Company: GM Financial Location: Arlington, TX Job Posted Time: 2026-09-10 11:35:51 Employment Type: Remote Target Skills & Keywords : Ansible, Azure, Bash, Cassandra, Chef, Data Warehouse, Docker, ETL, Encryption, Flink, HBase, HDFS, Hadoop, Informatica, Java, Kafka, Kubernetes, Linux, Machine Learning, MongoDB, Perl, PostgreSQL, Puppet, Python, RabbitMQ, Redis, Root Cause Analysis, Ruby, SQL, Scala, Solr, Spark, TLS About the job Experience: •5-7 years experience with software engineering to include Java, Scala, and Python required •5-7 years proficiency with processing large data sets with Kafka, RabbitMQ, Flume, Hadoop, HBase, Cassandra and/or Spark or similar distributed system required •3-5 years hands-on experience with scripting with Bash, Perl, Ruby required •3-5 years hands-on development / processing experience on Kafka, HBase, Solr, and Hue required •2-4 years hands-on experience with ETL and Business Intelligence technologies such as Informatica, DataStage, Ab Initio, Cognos, BusinessObjects, or Oracle Business Intelligence required Required Skills: •Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact. •Hybrid – 2 days onsite, 3 days remote per week •What makes you a dream candidate? •Evaluate, research, experiment with data engineering technologies in a lab to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand •Interface directly 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 •Define and refine 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 Qualifications: •Have Other Skills? We Use These Too •Strong working knowledge of Hadoop and Spark cluster security, networking connectivity and IO throughput along with other factors that affect distributed system performance •Strong working knowledge of disaster recovery, incident management, and security best practices •Solid functional working knowledge of containers (e.g., docker) and major orchestrators (e.g., Mesos, Kubernetes, Docker Datacenter) •Solid functional working knowledge of automation tools (e.g., Puppet, Chef, Ansible) •Solid functional working knowledge of software defined networking •Solid functional working knowledge of parcel based upgrades with Hadoop (i.e., Cloudera) •Solid functional working knowledge of hardening Hadoop with Kerberos, TLS, and HDFS encryption •Working knowledge with directed analytic graph stream processing using Beam, Flink, Nifi and/or Samza •Excellent knowledge of Linux, AIX, or other Unix flavors Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!