Hadoop Data Engineer

Hadoop Data Engineer

Contract Length: 12+ Month contract
Hybrid Work: Some onsite work
Location: Charlotte, NC

We are seeking a skilled Hadoop Data Engineer to design, build, operate, and optimize large-scale distributed data platforms. This role focuses on supporting and enhancing HPE MapR–based Hadoop ecosystems, ensuring high availability, performance, security, and reliability for enterprise data workloads.

• Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
• Review and analyze complex, multi-faceted, large-scale or long-term Software Engineering challenges requiring in-depth evaluation of multiple factors, including intangible or unprecedented factors.
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of function, policies, procedures, and compliance requirements.
• Strategically collaborate and consult with client personnel.

• 5+ years of Software Engineering experience, or equivalent.
• 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 Spark and batch/stream processing paradigms.
• Experience troubleshooting performance and stability issues in large-scale environments.

• Hadoop: 2–4 years