Software Engineer

Software Engineer 4 (Hadoop / HPE MapR Engineer)

We are seeking a skilled Hadoop / HPE MapR 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. The ideal candidate has hands-on experience with MapR services, distributed systems, Linux, and big data processing frameworks, and is comfortable operating in a complex, production-grade environment.

Key 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

Required Qualifications:

• 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: $65-67/hr

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.