Software Engineer 4 / Hadoop (HPE MapR) Engineer

Everforth Apex
Irving, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 154K

Job location

Irving, United States of America

Tech stack

Java
Automation of Tests
Bash
Big Data
Computer Clusters
Data Infrastructure
Linux
Distributed Data Store
Distributed Systems
Hadoop
Monitoring of Systems
Python
MapR (Big Data)
Prometheus
Cloudera
Scala
Software Engineering
Scripting (Bash/Python/Go/Ruby)
System Availability
Grafana
Spark
Stream Processing
Splunk

Job description

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Day-to-Day Responsibilities:

  • Design, implement, and maintain large-scale distributed data platforms using HPE MapR and Hadoop
  • Support, optimize, and enhance MapR-based ecosystems for performance, scalability, and reliability
  • Monitor system performance and proactively troubleshoot production issues
  • Ensure high availability and operational stability of enterprise clusters
  • Work with Apache Spark for large-scale data processing workloads
  • Perform Linux/Unix system administration and cluster management
  • Develop and maintain automation scripts and tools (Python, Java, Scala, Bash)
  • Utilize monitoring tools (Grafana, Prometheus, Splunk) to track cluster health and performance
  • Analyze and resolve complex distributed system issues across environments
  • Collaborate with engineering and infrastructure teams to deliver scalable solutions
  • Ensure adherence to security, compliance, and governance standards
  • Contribute to ongoing improvements of data platform infrastructure and processes

Requirements

  • 5+ years of experience in software engineering or big data platform engineering with Hadoop (HPE MapR preferred)
  • Strong expertise in distributed systems, cluster computing, and Linux/Unix administration
  • Proficiency in programming/scripting (Python, Java, Scala, or Bash) with experience supporting production-scale environmentsPlusses:
  • Experience with Apache Spark and batch/stream processing frameworks
  • Familiarity with monitoring/observability tools (Grafana, Prometheus, Splunk)
  • Experience with other Hadoop distributions (Cloudera, Hortonworks)

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

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