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Hadoop Jobs (NOW HIRING)

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 ...

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 ...

Syntricate Technologies

Hadoop Developer

Plano, TX · On-site

Syntricate Technologies is seeking a Hadoop Developer to work onsite in Plano, TX. The role involves leveraging expertise in Hadoop and Big Data technologies to implement data warehousing solutions ...

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 ...

Vantagepoint Consulting Services Private Limited

$110 - $170/hr

Farmington Hills, MI Duration: 6+ Months Minimum Skills required: * - 4+ years of development experience with Hadoop eco-system ( Spark, Scala, Oozie, , Pig, Hive ,HDFS, MapReduce) and/or NoSQL ...

Northern Base

Hadoop Developer

Charlotte, NC · On-site

Hiring Alert | Hadoop Developer Location: Charlotte, NC (Onsite) Employment Type: Full-Time Experience Required: 10-15 Years Visa Type: USC / GC Only Must-Have Skills: * PySpark * Apache Spark

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 ...

E*Pro, Inc.

Hadoop Admin

Charlotte, NC · On-site

Hadoop Administrator Job Location: Charlotte, NC Job Length: Full Time / Permanent Position Required Skills: Experience with large scale Hadoop environments build and support including design ...

Info Way Solutions

Hadoop Developer

San Jose, CA · On-site

Job Summary : Info Way Solutions is seeking a Hadoop Developer to join their team. The role involves working with Big Data architecture and requires hands-on experience with various tools and ...

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;

Jobsbridge

Hadoop Admin

Cupertino, CA · On-site

Company Description Jobsbridge We need a qualified consultant to upgrade a few large Hadoop clusters from Hortonworks HDP 1.3 to HDP 2.2. and 1. Should have good work Experience in HADOOP ...

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How much do hadoop jobs pay per hour?

As of Sep 5, 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 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.

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 admin a good career?

Hadoop administration is a viable career path for those interested in big data management, requiring skills in cluster setup, maintenance, and troubleshooting. It offers opportunities in data-driven industries and often involves certifications like Cloudera or Hortonworks. The role typically demands strong technical knowledge and problem-solving abilities.
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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 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 84% Physical, 7% Hybrid, and 9% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Hadoop Admin

Satnam Data Systems, Inc

Phoenix, AZ • On-site

Contractor

Re-posted 19 days ago

Job description

Company Description
Myself Sunil Kumar working as Sr. Technical Recruiter - Talent Acquisition for Satnam Data Services Inc.(www.satnam.com).
Satnam is Multi-National Software Development and US Staffing Company, This has established in the year of 1994 in Somerset, NJ as its headquarter.
Satnam is a Certified Woman Owned Certified & Minority Owned Certified Company
Job Description
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.
• Need all round experience with hive, yarn, tableau, hdfs, nosql etc - all Hadoop components
• Cluster maintenance as well as creation and removal of nodes using tools like 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.
• Create interfaces with other services - Medium to long term
• This position requires an individual with excellent skills integrating large and complex systems
• The ideal candidate has a solid understanding of application risks principles and remediation
Required Skills:
• 5+ years experience with Java, J2EE, HTML, JSP, Servlets, CSS, JavaScript, XML (DOM, SAX), Web Services, JMS
• 3+ years experience with PostgreSQL (Oracle ok)
• 3+ years experience with Unix, Linux, and Windows operating systems
• Experience with Open Source Frameworks and other tools including Spring, Struts, Hibernate, Log4J/Commons logging, Maven, Ant
• Knowledge of SVN or any other source code control systems
• Experience in using Eclipse or other IDEs
• A team player with excellent communication and problem solving skills
• Experience across the development lifecycle with large-scale, highly available applications
• Ability to quickly develop subject matter expertise and working knowledge of new business processes - i.e., an ability to understand 'the business' in short order
• Demonstrated communication skills both written and verbal are required
• Must be familiar with structured project life cycle disciplines
Qualifications
Bachelors in information Technologies
Additional Information

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