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Hewlett Packard Enterprise

Experience with public sector contracts and funding models. * Hands-on experience with multi-vendor ... HPE will comply with all applicable laws related to employer use of arrest and conviction records ...

Hewlett Packard Enterprise Development LP

Experience with public sector contracts and funding models. * Hands-on experience with multi-vendor ... HPE will comply with all applicable laws related to employer use of arrest and conviction records ...

Hewlett Packard Enterprise Development LP

Experience with public sector contracts and funding models. * Hands-on experience with multi-vendor ... HPE will comply with all applicable laws related to employer use of arrest and conviction records ...

Hewlett Packard Enterprise Development LP

$18 - $24.75/hr

Partner with agencies and internal HPE stakeholders on contract negotiations, ensuring deliverables and pricing structure reflect HPE's standards of excellence and facilitate profitable, long-lasting ...

Hewlett Packard Enterprise Development LP

$18 - $24.75/hr

Partner with agencies and internal HPE stakeholders on contract negotiations, ensuring deliverables and pricing structure reflect HPE's standards of excellence and facilitate profitable, long-lasting ...

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How much do hpe contract jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for hpe contract in the United States is $26.18, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $28.61 per hour, depending on experience, location, and employer.

What are the typical responsibilities of someone in an HPE Contract role?

Professionals in an HPE Contract role are responsible for drafting, reviewing, and negotiating contracts between HPE and clients or vendors, ensuring all terms and conditions align with company policies and legal requirements. They often collaborate closely with legal, procurement, sales, and finance teams to address compliance concerns and streamline contract approval processes. This position may also monitor contract performance, support renewals or amendments, and manage documentation throughout the contract lifecycle. Due to the dynamic nature of the technology industry, staying organized and responsive to changing project needs is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Hpe Contract position, and why are they important?

To thrive in an HPE Contract role, you need a strong understanding of contract management, negotiation, and procurement processes, typically supported by experience in IT contracts or supply chain and a relevant degree. Familiarity with tools such as SAP Ariba, contract lifecycle management software, and knowledge of HPE's products and services are often required. Exceptional attention to detail, organizational skills, and clear communication abilities help you manage complex agreements and collaborate effectively. These skills are crucial for minimizing risk, ensuring compliance, and optimizing vendor relationships in a fast-paced technology environment.

What is an HPE Contract job?

An HPE Contract job typically involves working on a contract basis with Hewlett Packard Enterprise (HPE) or its partners, handling IT solutions, services, or support. These roles can include project management, technical consulting, system engineering, or customer support. Contract employees may work on specific projects for a set duration rather than being full-time employees.

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Hpe Contract jobs near you
Infographic showing various Hpe Contract job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 2% As Needed, 4% Full Time, 91% Contract, and 1% Nights. Highlights an 48% Physical, 20% Hybrid, and 32% Remote job distribution, with an average salary of $54,445 per year, or $26.2 per hour.
Hadoop / HPE MapR Engineer

Hadoop / HPE MapR Engineer

Strategic Staffing Solutions

Irving, TX • On-site

Other

Posted 22 days ago

Job description










Hadoop / HPE MapR Engineer

Location: Irving, TX | Phoenix, AZ | Charlotte, NC (Hybrid)
Duration: 12-Month Contract
Level: Software Engineer 3 / Software Engineer 4

Overview

Seeking an experienced Hadoop / HPE MapR Engineer to support and optimize enterprise-scale distributed data platforms in a high-availability production environment. This role focuses on engineering, administration, monitoring, troubleshooting, and performance optimization of HPE MapR-based Hadoop ecosystems supporting large-scale data workloads.

The ideal candidate brings strong experience with distributed systems, Linux administration, Hadoop technologies, Apache Spark, and enterprise production support.

Key Responsibilities

  • Design, build, maintain, and optimize large-scale Hadoop and HPE MapR data platforms
  • Support enterprise distributed systems with focus on scalability, performance, reliability, and availability
  • Administer and troubleshoot HPE MapR clusters in production environments
  • Monitor cluster health, storage utilization, processing performance, and system stability
  • Resolve complex infrastructure and application issues across distributed environments
  • Support batch and stream data processing workloads using Apache Spark and related technologies
  • Perform Linux/Unix administration tasks, scripting, automation, and operational support
  • Collaborate with engineering, infrastructure, and architecture teams on platform enhancements and operational improvements
  • Support high-availability configurations and enterprise resiliency initiatives
  • Utilize monitoring and observability tools to identify, analyze, and resolve system issues
  • Participate in operational support, incident resolution, root cause analysis, and performance tuning initiatives

Required Qualifications
Software Engineer 3

  • 3 5 years of experience in software engineering, big data engineering, infrastructure engineering, or distributed systems support
  • Hands-on experience with Hadoop ecosystems, specifically HPE MapR
  • Strong understanding of distributed systems, cluster computing, and enterprise data platforms
  • Experience administering Linux/Unix systems in enterprise environments
  • Experience with one or more scripting/programming languages:

    • Python
    • Java
    • Scala
    • Bash/Shell

  • Experience with Apache Spark and distributed data processing frameworks
  • Experience supporting enterprise production environments with high availability requirements
  • Strong troubleshooting and performance tuning experience
  • Familiarity with monitoring tools such as Grafana, Prometheus, Splunk, or similar platforms

Software Engineer 4

  • 5+ years of experience in software engineering, big data engineering, infrastructure engineering, or distributed systems support
  • Advanced hands-on expertise with Hadoop ecosystems and HPE MapR platforms
  • Deep understanding of distributed storage, cluster operations, scalability, and resiliency
  • Strong enterprise production support and operational engineering experience
  • Advanced troubleshooting and performance optimization capabilities within large-scale distributed environments
  • Experience supporting mission-critical enterprise data platforms

Preferred Skills

  • Experience with enterprise-scale Hadoop migrations or modernization initiatives
  • Knowledge of streaming technologies and data pipeline architectures
  • Experience with automation, infrastructure scripting, or platform reliability engineering
  • Familiarity with enterprise compliance and operational standards
  • Experience working in Agile delivery environments

Ideal Candidate

  • Strong hands-on engineer with enterprise Hadoop and HPE MapR expertise
  • Comfortable operating in complex, large-scale production environments
  • Experienced troubleshooting distributed systems and performance bottlenecks
  • Able to balance operational support with platform engineering improvements
  • Effective communicator who can collaborate across engineering and infrastructure teams



















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