Hadoop / HPE MapR Engineer (Big Data)

TL;DR

Hadoop / HPE MapR Engineer (Big Data): Designing, building, and optimizing enterprise-scale distributed data platforms based on HPE MapR with an accent on cluster administration, performance tuning, and high availability. Focus on troubleshooting complex infrastructure issues, managing Spark workloads, and ensuring system reliability in production environments.

Location: Hybrid in Irving, TX | Phoenix, AZ | Charlotte, NC

Company

hirify.global is a professional staffing firm specializing in providing highly skilled engineering talent for enterprise-scale projects.

What you will do

• Design, build, and optimize large-scale Hadoop and HPE MapR data platforms.
• Administer and troubleshoot HPE MapR clusters in production to ensure scalability, reliability, and availability.
• Monitor cluster health, storage utilization, and processing performance using tools like Grafana, Prometheus, or Splunk.
• Support batch and stream data processing workloads using Apache Spark.
• Perform Linux/Unix administration, scripting, and automation for operational support.
• Collaborate with engineering and architecture teams to implement platform enhancements and resiliency initiatives.

Requirements

• 3–5+ years of experience in software engineering, big data, or infrastructure engineering.
• Hands-on expertise with Hadoop ecosystems, specifically HPE MapR.
• Strong proficiency in Linux/Unix administration within enterprise environments.
• Experience with scripting/programming in Python, Java, Scala, or Bash/Shell.
• Experience with Apache Spark and distributed data processing frameworks.
• Must be based in or able to work hybridly in Irving, TX, Phoenix, AZ, or Charlotte, NC.

Nice to have

• 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 (SRE).
• Experience working in Agile delivery environments.

Culture & Benefits

• Opportunity to work on mission-critical enterprise data platforms.
• Engagement in high-availability production environments with large-scale data workloads.
• Collaborative environment working across engineering and infrastructure teams.
• 12-month contract duration.