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Hadoop Jobs (NOW HIRING)

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 ...

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

New

Hadoop Architect

Plano, TX · On-site

$95K - $115K/yr

Hadoop Architect Experience: Minimum10 years Key Responsibilities • Monitor and resolve HDFS and Ozone related issues. • Investigate cluster performance, storage utilization, and capacity ...

Company Description Intelliswift Software, Inc Must have Hadoop administration experience. Expecting atleast 2 years of experience. Experience in handling 50+ DN is a plus. Must understand the role ...

Hadoop requirements * Qualifications MS/BS in Computer Science or related field 7+ years of experience in large-scale software development. * 4 to 5 years of experience with data analytics and high ...

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 ...

Apache, Hive, Spark and Hadoop SQL Experience is a MUST 0-2 yrs of experience we need, its a Jr-Mid level Hadoop Developer role The main function of a Hadoop Developer is to design, develop, code ...

Skill Hadoop Developer Location Irvine, CA Total Experience 1 yrs. Max Salary Not Mentioned Employment Type Contract Jobs (Temp/Consulting) Job Duration 6 months Domain Any Description OPT and EAD ...

Administer, and monitor Big Data Platform components (Hadoop, Hive, HBase, BigSQL, etc) * Support Technical and Application team requests - data copies across environments, data cleanup, query tuning ...

At least 1 year of experience with Hadoop MapReduce, PIG, HIVE, SQOOP, HBase, SPARK, Scala, Impala. * Should have experience with Cloudera Manager (OR) Ambari (OR) Pivotal Command Line Centre.

Hadoop Admin Location: TX/FL Skills : * Atlas/ Cloudera CDH/ UNIX/ Hadoop admin background * Data modeling like designing and implementation of data based on recognized standards. * Software ...

Hadoop Developer Location: Wilmington, DE Length: 2 years F2F REQUIRED Locals only Requirements: - 5+ years Hadoop development experience - Experience with various Hadoop tools & frameworks ...

Knowledge of new technology in Hadoop ecosystem components * Strong Analytical skills * Data modelling, design & implementation based on recognized standards. * Software installation and ...

At least 1 year of experience with Hadoop MapReduce, PIG, HIVE, SQOOP, HBase, SPARK, Scala, Impala. * Should have experience with Cloudera Manager (OR) Ambari (OR) Pivotal Command Line Centre.

Job#: 3045787 Hadoop Engineer Location: Chicago, Illinois (Onsite) Role Overview We are seeking a Hadoop Engineer to support NextGen Platforms built around Big Data Technologies. This role is ...

Company Description Intelliswift Software, Inc 7+ years of hands-on programming experience with 4+ years in Hadoop platform Proficiency with Java and one of the scripting languages like Python ...

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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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What are the most commonly searched types of Hadoop jobs?

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What states have the most Hadoop jobs?

States with the most job openings for Hadoop jobs include:

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.

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Job description

Company Description

M3bi is a new generation IT Services Company specializing in Business Intelligence, Data Warehousing & Data Analytics! The team at M3bi stands for enabling enterprises with an enriched and controlled view of their business and data. Our primary focus is around data analytics, testing automation and end-to-end delivery of Data Management programs for large Financial Services and Healthcare clients.

Job Description

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 of big data analytics, predictive analytics and machine learning initiatives.

Qualifications
  • Strong development experience is a must
  • Knowledge of agile methodology for delivering software solutions
  • Proven understanding with Hadoop, HBase, Hive, Pig.
  • Experience in Hadoop/Spark Running Pig and Hive Queries, Analyzing data with Hive.
  • Experience in Hadoop / HIVE - Performance tuning
  • Experience in creating tables in HIVE
  • Experience in HIVE SQL / SQL - partitions, buckets
  • Experience with Hadoop eco-system - HDFS file orchestration and scripting
  • Experience in Hive - HQL design and ETL
  • Test driven development, a commitment to quality and a thorough approach to the work.
  • Good understanding of Object oriented design, Design Patterns
  • Has done development or debugging on Linux/ Unix platforms.
  • Motivation to learn innovative trade of programming, debugging and deploying
  • Self-starter, with excellent self-study skills and growth aspirations
Additional Information

All your information will be kept confidential according to EEO guidelines.