Software Engineer

Description

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Software Engineer

Contract: Charlotte, North Carolina, US

Salary Range: 65.00 - 67.00 | Per Hour

Job Code: 369794

End Date: 2026-07-02
Days Left: 3 days, 3 hours left

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Position Details:

Position: Software Engineer 4 (Hadoop / HPE MapR Engineer)

Industry: Banking/Financial Services

Job duration: 12 Months (Possible Extension)

Location: Irving, TX / Charlotte, NC / Phoenix, AZ

Pay: $65-67/hr

Description:

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.

Job Requirement

• Hadoop
• HPE MapR
• MapR
• Spark
• Big Data

Reach Out to a Recruiter

• Recruiter
• Email
• Phone
• Nilesh Giri
• View email address on click.appcast.io

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