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Hadoop Jobs (NOW HIRING)

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 Administration We currently have a job opening with one of our Direct Client and need Hadoop Administration. This is a fulltime/permanent role at location Washington, DC, 20013. Please review ...

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 ...

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

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

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 ...

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 ...

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 ...

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 ...

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 ...

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How much do hadoop jobs pay per hour?

As of Jul 4, 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.
More about Hadoop jobs
What cities are hiring for Hadoop jobs? Cities with the most Hadoop job openings:
What are the most commonly searched types of Hadoop jobs? The most popular types of Hadoop jobs are:
What states have the most Hadoop jobs? States with the most job openings for Hadoop jobs include:
What job categories do people searching Hadoop jobs look for? The top searched job categories for Hadoop jobs are:
Infographic showing various Hadoop job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 1% Part Time, and 8% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.
Hadoop Developer

Hadoop Developer

Jobsbridge

San Francisco, CA • On-site

Contractor

Posted 29 days ago


Job description

Company Description

Intelliswift Software, Inc

Job Description

Requirements 

3-5 years of experience with the Hadoop ecosystem and Big Data technologies 

Hands-on experience with the Hadoop stack (HDFS, MapReduce, Hbase, Pig, Hive, Storm, Impala, Spark) 

Scripting and automation skills in Java or Python 

Experience deploying new Hadoop infrastructure, Hadoop cluster upgrades, and cluster maintenance 

Experience developing Hadoop integrations for data ingestion, data mapping and data processing capabilities 

Familiarity with cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems 

Knowledge of design and architecture principles 

Strong communication skills and ability to interact with our business, product, and development teams 

Experience of design and architecture principles 

Proficiency in Scala 

Experience with Cloudera distributions CDH 4x/5x is a plus 

Experience with MQ technologies (Kafka, RabbitMQ) is a plus 

Experience with graph processing systems like Apache Giraph is a plus 

Prior experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout) is a plus

Qualifications

Hadoop Developer, Big Data, HDFS, Hive, Hadoop, AWS, MapR

Additional Information

Multiple Openings 


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About Jobsbridge Institute

Sourced by ZipRecruiter

Josbridge Institute is your one-stop destination for your Data, Cloud and Analytics learning needs, powered by Microsoft AI & Cloud platform. We offer a wide range of courses and programs, from foundational to advanced focusing on Data Analysis, Cloud Engg, AI-ML required for Microsoft certification. Our courses are designed to equip you with the practical skills and knowledge required for success in the field of cloud computing, AI and Data Analytics. With our experienced faculty, applied learning and comprehensive curriculum, we are committed to helping you achieve your career goals. Students seeking Internship (CPT & OPT) may apply.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Campbell, CA, US

Year founded

2022