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Hadoop​/HPE MapR Engineer. Phoenix LilyLifestyle

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Genesis10
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Systems Engineer, SRE/Site Reliability, Unix/Linux
Salary/Wage Range or Industry Benchmark: 59.53 - 67.53 USD Hourly USD 59.53 67.53 HOUR
Job Description & How to Apply Below
Position: Hadoop / HPE MapR Engineer. Job in Phoenix Lily Lifestyle Jobs

Hadoop / HPE MapR Engineer

Genesis
10 is currently seeking a Hadoop / HPE MapR Engineer for a contract position with a Global Financial Institution located in Irving, TX, Phoenix, AZ, and Charlotte, NC. This is a 12+ month contract opportunity.

In this role, you will design, build, operate, and optimize large-scale distributed data platforms. The focus will be on supporting and enhancing HPE MapR-based Hadoop ecosystems to ensure high availability, performance, and reliability for enterprise data workloads in a complex, production-grade environment.

Responsibilities:
  • Design, implement, and maintain large-scale distributed data platforms using HPE MapR and Hadoop technologies
  • Support and enhance MapR-based ecosystems to ensure system performance, scalability, and reliability
  • Monitor, troubleshoot, and resolve performance and stability issues in production environments
  • Ensure high availability and operational efficiency of enterprise-scale clusters
  • Consult on complex software engineering initiatives with broad organizational impact
  • Analyze and resolve large-scale, multi-faceted technical challenges requiring evaluation of multiple factors, including ambiguous or unprecedented scenarios
  • Collaborate strategically with client stakeholders and internal teams to deliver scalable and compliant solutions
  • Adhere to organizational policies, procedures, and compliance requirements while meeting deliverables
Requirements:
  • 5+ years of experience in software engineering, big data, data platform, or infrastructure engineering, or equivalent experience
  • Strong hands-on experience with Hadoop distributions, specifically HPE MapR
  • Deep understanding of distributed systems, data storage, and cluster computing concepts
  • Proficiency in Linux/Unix system administration
  • Experience with at least one programming or scripting language:
    Python, Java, Scala, or Bash
  • Working knowledge of Apache Spark and batch/stream processing paradigms
  • Proven experience supporting production, enterprise-scale clusters with high availability requirements
  • Experience troubleshooting complex issues in large-scale environments
  • Familiarity with monitoring tools such as Grafana, Prometheus, Splunk, or similar

Pay range: $59.53 - $67.53 per hour

Only candidates available and ready to work directly as Genesis
10 employees will be considered for this position.

If you have the described qualifications and are interested in this exciting opportunity, please apply!

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