Hadoop / HPE MapR Engineer

Hadoop / HPE MapR Engineer (Software Engineer 3) • Locations: Charlotte, NC | Irving, TX | Phoenix, AZ (Hybrid – 3 Days Onsite) • Contract: 12 Months Job Overview We are seeking an experienced Hadoop / HPE MapR Engineer to support and enhance large-scale enterprise data platforms. The ideal candidate will have strong experience administering Hadoop ecosystems, managing distributed systems, and supporting production-grade clusters in complex enterprise environments. This role will focus on ensuring the reliability, scalability, security, and performance of Hadoop-based platforms while collaborating with engineering teams to deliver robust data solutions. Key Responsibilities • Design, implement, and maintain Hadoop and HPE MapR-based data platforms. • Support enterprise-scale distributed systems and data processing environments. • Monitor cluster performance and troubleshoot production issues. • Ensure high availability, scalability, and operational efficiency of Hadoop clusters. • Perform Linux/Unix system administration and platform maintenance. • Support batch and stream processing workloads using Apache Spark. • Collaborate with engineering and infrastructure teams to optimize platform performance. • Implement monitoring, alerting, and operational best practices. • Troubleshoot and resolve complex technical issues across large-scale environments. Required Skills • 3+ years of experience in Hadoop Administration, Big Data Platform Engineering, or Infrastructure Engineering. • Strong hands-on experience with Hadoop ecosystems. • Experience with HPE MapR administration and support. • Strong Linux/Unix administration skills. • Experience supporting enterprise production clusters. • Working knowledge of Apache Spark. • Experience with Python, Java, Scala, or Bash scripting. • Strong troubleshooting and performance tuning skills. • Understanding of distributed systems and cluster computing concepts. Preferred Skills • Cloudera or Hortonworks experience. • Experience with monitoring tools such as Splunk, Grafana, or Prometheus. • Knowledge of data storage architectures and high-availability environments. Qualifications • Experience supporting large-scale Hadoop environments in production. • Ability to diagnose and resolve complex platform and performance issues. • Strong communication and collaboration skills. • Experience working in enterprise environments with compliance and operational standards. Work Arrangement • Hybrid Schedule (3 Days Onsite) • Charlotte, NC | Irving, TX | Phoenix, AZ If you have strong Hadoop administration experience, HPE MapR expertise, Linux skills, and a background supporting enterprise data platforms, we'd love to connect with you. Posted By: Rachel LeClair