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Hadoop Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

M3BI

Hadoop Developer

Phoenix, AZ

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 ...

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 ...

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 ...

Jobsbridge

Hadoop Administrator

Brisbane, CA · On-site

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 ...

AditiStaffing

Hadoop Developer

Irving, TX

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 ...

Jobsbridge

Hadoop Developer

Irvine, CA · On-site

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 ...

Sonsoft Inc

Hadoop Administrator

Foster City, CA

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.

Sonsoft Inc

Hadoop Administrator

Foster City, CA

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

Arka Infotech Inc

Hadoop Developer

Wilmington, DE · On-site

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

Deegit Inc

Hadoop Developer

Maryland City, MD · On-site

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 ...

Programmers.io

Hadoop Admin

Torrance, CA · On-site

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 ...

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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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Hadoop jobs near you
Hadoop Developer

Hadoop Developer

M3BI

Phoenix, AZ • On-site

Full-time

Posted 25 days ago

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.

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