Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description: Job TitleSenior Software Engineer - Hadoop / HPE MapR
About the RoleAs a Senior Software Engineer supporting large-scale data platforms, you will consult on complex, high-impact initiatives and contribute to the design, implementation, and optimization of distributed data systems. You will work on enterprise-grade Hadoop ecosystems built on
HPE MapR, ensuring reliability, performance, scalability, and security. This role requires strong technical judgment, cross-functional collaboration, and the ability to solve ambiguous, multi-dimensional engineering challenges.
Responsibilities- Design, build, operate, and optimize large-scale distributed data platforms using HPE MapR-based Hadoop ecosystems.
- Consult on complex software engineering initiatives with broad organizational impact and long-term strategic planning considerations.
- Analyze and resolve large-scale, multi-faceted engineering challenges requiring in-depth evaluation of technical, operational, and compliance factors.
- Ensure high availability, performance tuning, security, and reliability of Hadoop clusters supporting enterprise workloads.
- Troubleshoot and remediate system performance, stability, and scalability issues in production environments.
- Collaborate strategically with client and stakeholder teams to align technical solutions with business objectives.
- Contribute to engineering best practices, documentation, and operational standards.
Minimum Qualifications- 5+ years of experience in Software Engineering or a related technical field, or equivalent practical experience demonstrated through work, consulting, military service, training, or education.
- Hands-on experience with Hadoop distributions, including HPE MapR.
- Strong understanding of distributed systems, data storage, and cluster computing architectures.
- Experience administering Linux/Unix-based systems.
- Proficiency in at least one programming or scripting language: Python, Java, Scala, or Bash.
Preferred Qualifications- Experience with Apache Spark and batch and/or stream processing frameworks.
- Demonstrated ability to troubleshoot complex performance and reliability issues in large-scale distributed environments.
- Experience working in enterprise or regulated environments with compliance and operational requirements.
- Strong collaboration and consultation skills when working with cross-functional or client-facing teams.
LocationCharlotte, NC
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