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Hadoop Jobs (NOW HIRING)

hectocorn infotech

Hadoop Administrator

Eagan, MN · On-site

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 ...

Satnam Data Systems, Inc

Hadoop Admin

Phoenix, AZ

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 ...

Stem Xpert

Hadoop Developer

Durham, NC

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

Sonsoft Inc

Hadoop Administration

Cincinnati, OH · On-site

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 ...

Sonsoft Inc

Hadoop Administrator

Atlanta, GA

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 ...

Collabera

Hadoop Architect

Bellevue, WA

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 ...

Saxon Global

Hadoop Admin

Ann Arbor, MI · On-site

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 ...

Jobsbridge

Hadoop Developer

San Francisco, CA

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 ...

Sonsoft Inc

Hadoop Administration

Tampa, FL

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 ...

Jobsbridge

Hadoop Developer

Charlotte, NC

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 ...

Satnam Data Systems, Inc

Hadoop Admin

Phoenix, AZ · On-site

Satnam is a Certified Woman Owned Certified & Minority Owned Certified Company Responsibilities: • Responsible for implementation and ongoing administration of Hadoop infrastructure. • Aligning ...

Deegit Inc

Hadoop Architect

Englewood, CO · On-site

Company Description • Design and Solution Architect experience in Hadoop platforms. • Strong experience in Hadoop Core components - HDFS, Pig , Hive on HDP platform. • Hands-on experience on ...

M3BI

Hadoop Developer

Phoenix, AZ · On-site

As a Hadoop developer, you will provide technical expertise and aptitude to Hadoop technologies as they relate to the development of analytics. You will be responsible for the planning and execution ...

Sarian Solutions

Hadoop Developer

Plano, TX · On-site

Hadoop Developer Location: Plano, TX Duration: Full-Time * Proven Understanding of Cloudera Hadoop and Apache ecosystem namely YARN, Impala, Hive, Flume, HBase, Sqoop, Apache Spark, Apache Storm ...

MM International

Hadoop Developer

Addison, TX · On-site

Hadoop Developer Location: Addison, TX (3 days' hybrid in-office) Responsibilities: * Building data loading process * End to end development (understand those process) * Repositories: Spark & SQL ...

Ventures Unlimited Inc

Hadoop Lead

Beaverton, OR

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;

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How much do hadoop jobs pay per hour?

As of Aug 15, 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 is a Hadoop job?

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.

Is Hadoop administrator a good career?

A Hadoop administrator manages and maintains Hadoop clusters, ensuring data processing workflows run efficiently. It is a specialized role that requires knowledge of big data tools, scripting, and system management, and it offers opportunities in data-driven industries with competitive salaries. The demand for skilled Hadoop administrators remains steady as organizations continue to adopt big data solutions.

What are the key skills and qualifications needed to thrive as a Hadoop developer?

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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Hadoop jobs near you
Infographic showing various Hadoop job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 1% Part Time, and 17% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Hadoop Administrator

hectocorn infotech

Eagan, MN • On-site

Full-time

Re-posted 11 days ago

Job description

Company Description

Hectocorn Infotech

Job Description



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

Excellent implementation and support experience

Good Unix commands and scripting experience

Roles & Responsibilities                             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 for Hadoop and to expand existing environments.

             Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users.

             Cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Cloudera Manager Enterprise, Dell Open Manage and other tools.

             Performance tuning of Hadoop clusters and Hadoop MapReduce routines.

             Screen Hadoop cluster job performances and capacity planning

             Monitor Hadoop cluster connectivity and security

             Manage and review Hadoop log files.

             File system management and monitoring.

             HDFS support and maintenance.

             Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.

             Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required.

             Point of Contact for Vendor escalation

             Data modelling, design & implementation based on recognized standards.

             Software installation and configuration.

             Database backup and recovery.

             Database connectivity and security.

             Performance monitoring and tuning.

             Disk space management.

             Software patches and upgrades.

             Automate manual tasks.




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