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Hadoop Jobs (NOW HIRING)

Hadoop Developer Job Location: -Durham, NC Duration: 6+ Months Overview: Responsibilities Design, implement and deploy custom applications on Hadoop. Troubleshoot production issues with Hadoop ...

Company Description Hectocorn Infotech Must be GC OR Citizen as the client won't sponsor Job Title Senior Hadoop L3 Admin Technical/Functional Skills -MUST HAVE SKILLS Cloudera Hadoop L3 Admin ...

Hadoop, MapReduce, HBase, Hive, Pig, Mahout * Hadoop Administration skills: Experience working in Cloudera Manager or Ambari, Ganglia, Nagios * Experience in using Hadoop Schedulers - FIFO, Fair ...

Hadoop Architect Location : Bellevue, WA Duration: Full time Description Design and Solution Architect experience in Hadoop platforms. Strong experience in Hadoop Core components - HDFS, Pig , Hive ...

Hadoop, MapReduce, HBase, Hive, Pig, Mahout * Hadoop Administration skills: Experience working in Cloudera Manager or Ambari, Ganglia, Nagios * Experience in using Hadoop Schedulers - FIFO, Fair ...

Responsible to build Hadoop Platform & Infrastructure from the scratch Aligning with development and architecture teams to propose and deploy new hardware and software environments required for ...

Responsible for implementation and ongoing administration of Hadoop infrastructure. Aligning with the systems engineering team to propose and deploy new hardware and software environments required ...

Hadoop Administrator/ Engineer Location: New York, NY Position Type: Contract Role: Manage several Hadoop clusters in development and production environments Monitoring and troubleshooting of ...

Company Description Intelliswift Software, Inc Requirements 3-5 years of experience with the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop stack (HDFS, MapReduce ...

Hadoop, MapReduce, HBase, Hive, Pig, Mahout * Hadoop Administration skills: Experience working in Cloudera Manager or Ambari, Ganglia, Nagios * Experience in using Hadoop Schedulers - FIFO, Fair ...

Hadoop Admin Location: Ann Arbor,MI Duration: Long term contract. Interview: Phone REQUIRED SKILLS : 1.Hadoop Administration 2.Security background 3. BONUS if they have hadoop tools (machine learning ...

Hadoop Lead with Python Location: Beaverton, OR Duration: Full Time : Responsibilities: Design and implement map reduce jobs to support distributed processing using java, python, hive and pig;

Strong programming skills in JAVA, Scala (added advantage but not mandatory) Strong knowledge of Hadoop and its ecosystem components like MapReduce, Hive, Pig, Sqoop, Oozie, Flume, etc., Knowledge of ...

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How much do hadoop jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for hadoop in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $65.38 per hour, depending on experience, location, and employer.

What are Hadoop jobs?

Hadoop jobs refer to data processing tasks that are executed within the Hadoop ecosystem, typically using frameworks like MapReduce, Apache Hive, or Apache Pig. These jobs are designed to handle large volumes of data distributed across clusters of computers, making it possible to analyze and transform big data efficiently. Hadoop jobs can include data ingestion, transformation, aggregation, or analysis, and are often written in Java, Python, or SQL-like languages. Professionals working with Hadoop are responsible for developing, scheduling, monitoring, and troubleshooting these jobs to ensure smooth data processing.

What is the difference between Hadoop vs Data Engineer?

AspectHadoopData Engineer
Primary RoleFramework for distributed storage and processing of big dataDesign, build, and maintain data pipelines and infrastructure
Skills & CertificationsHadoop ecosystem, MapReduce, HDFS, Java, LinuxSQL, Python, Spark, cloud platforms, data modeling
Work EnvironmentBig data clusters, data centers, cloud environmentsData warehouses, cloud platforms, enterprise systems
Industry UsageData processing, analytics, big data projectsData integration, pipeline development, analytics support

While Hadoop is a framework used for processing large datasets, Data Engineers focus on designing and maintaining the data infrastructure that often utilizes Hadoop components. Both roles require knowledge of big data tools, but Data Engineers have a broader scope including data pipeline development and cloud integration.

What are the key skills and qualifications needed to thrive as a Hadoop Developer, and why are they important?

To thrive as a Hadoop Developer, you need strong programming skills (Java, Python, or Scala), a solid understanding of distributed computing, and experience with big data processing, often supported by a relevant degree in computer science or IT. Proficiency with Hadoop ecosystem tools such as HDFS, MapReduce, Hive, Pig, and Spark, as well as certifications like Cloudera or Hortonworks, is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills that help developers interpret complex data and collaborate with teams. These capabilities are crucial for efficiently managing and extracting insights from large datasets, driving business value through data-driven decisions.

What are some typical challenges Hadoop professionals face when managing large-scale data clusters?

Hadoop professionals often encounter challenges such as ensuring cluster stability, handling hardware failures, and optimizing resource allocation. Managing data security and access controls across distributed environments can also be complex, especially as clusters grow in size. Additionally, balancing workloads and fine-tuning system performance to meet business requirements are ongoing tasks that require strong problem-solving skills and attention to detail. Collaboration with data engineers, system administrators, and developers is key to effectively maintaining and scaling the Hadoop ecosystem.
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$125K/yr

Full-time

Posted 6 days ago


Job description

Job title: Hadoop Administrator
Location: Austin, TX
JC: 143803
Salary: $125k Max
Job Description:
Key Responsibilities:
  • Administer, manage, and support large Hadoop node clusters in production environments
  • Provide L2/L3 production support for Hadoop platforms
  • Monitor cluster performance, troubleshoot issues, and perform root cause analysis
  • Handle incidents, service requests, and operational issues with strong ownership
  • Collaborate with business users and technical teams to resolve production issues
  • Ensure adherence to SLAs and operational best practices
  • Participate in on-call and support rotations as required

Required Skills:
Primary Skill:
  • Hadoop Administration- Senior Role: Extensive experience in Hadoop production support-
  • Mid-Senior Role: Minimum 7+ years of L2 Hadoop Admin support experience
  • Hands-on experience managing large Hadoop clusters in production
  • Strong troubleshooting and operational support skills
  • Experience working in enterprise-scale environments