Product Support Engineer, Hadoop

Acceldata

Product Support Engineer at Acceldata handling complex Hadoop and Spark environments. Mentoring team members and optimizing data processing systems for enterprise-level clients.

Posted 4/20/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $80,000 - $100,000 per yearWebsite

Tech Stack

Tools & technologies

HadoopHDFSKafkaPythonScalaSparkYarn

About the role

Key responsibilities & impact

Take ownership of complex customer environments
Mentor junior team members
Drive the reliability of Hadoop and Spark-based data processing systems
Collaborate closely with customer engineering teams
Deliver high-throughput Hadoop and Spark applications
Solve complex data challenges during migration and upgrades
Ensure reliability and optimise post-migration system performance

Requirements

What you’ll need

5+ years of hands-on experience working with hadoop environments
Technical proficiency in core hadoop services (HDFS, YARN, and Hive/Impala) and good working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager internals.
Extensive experience in troubleshooting and debugging hadoop components,
Advanced skills in configuring, tuning, and troubleshooting Red Hat and Debian-based distributions.
Good to have proficiency in Python, Bash, or Scala for system automation and performance monitoring.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Acceldata Website LinkedIn All Job Openings 201 - 500 employees Founded 2018 🏢 Enterprise ☁️ SaaS Enterprise
SaaS
Data Acceldata is a leading enterprise data observability company that provides comprehensive solutions for ensuring data quality, reliability, and cost efficiency in multi-cloud and hybrid data environments. Acceldata's platform offers observability across various aspects of data operations, including data quality, pipeline, infrastructure, user, and cost observability. By integrating seamlessly with cloud platforms, data warehouses, and BI tools, Acceldata helps enterprises manage large-scale data operations, enhance data reliability, and optimize performance. With a focus on improving data infrastructure reliability and efficiency, Acceldata supports a wide range of industries, including financial services, manufacturing, consumer packaged goods, retail, and life sciences. Product Support Engineer, Hadoop 🔥 6 minutes ago 🏄 California – Remote 💵 $80k - $100k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📞 Support Engineer Hadoop HDFS Kafka Python Scala Spark Yarn Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Take ownership of complex customer environments
Mentor junior team members
Drive the reliability of Hadoop and Spark-based data processing systems
Collaborate closely with customer engineering teams
Deliver high-throughput Hadoop and Spark applications
Solve complex data challenges during migration and upgrades
Ensure reliability and optimise post-migration system performance 🎯 Requirements
5+ years of hands-on experience working with hadoop environments
Technical proficiency in core hadoop services (HDFS, YARN, and Hive/Impala) and good working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager internals.
Extensive experience in troubleshooting and debugging hadoop components,
Advanced skills in configuring, tuning, and troubleshooting Red Hat and Debian-based distributions.
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Hard Skills & Tools

HadoopSparkHDFSYARNHiveImpalaKafkaNiFiAmbariCloudera Manager

Soft Skills

ownershipmentoringcollaborationproblem-solvingreliabilityoptimisation