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Big Data Hadoop Developer Jobs (NOW HIRING)

Position: Hadoop Developer Location: Redmond WA Duration: 12 + Months Client: Wipro The Hadoop ... This person will also help integrate Big Data with the Data Virtualization Framework by writing ...

Big Data/Hadoop Developer Job Location: Alpharetta, GA Duration: 3-6 Months Contract + Extensions Total # Positions: 1 Interview: Phone+F2F (Or Direct FTF) interview.....Skype is option only for Non ...

Hadoop Developer Implify, Inc is a Global IT Solutions and services firm. Since its inception ... Preferred Skills: • Experience with Big Data and Machine Learning Frameworks • Knowledge of ...

Experience in Big data testing (Hadoop) is required * Experience in any data warehouse technologies is preferred * Experience in managing testing teams in onsite offshore model * Ability to work in ...

Big Data/Hadoop With Cloud Analytics Sonsoft, Inc. is a USA based corporation duly organized under ... Experience in DevOps technologies preferred. Qualifications Bachelor's degree or foreign equivalent ...

Big Data Developer

$54.25 - $70.25/hr

Big Data Engineer Experian Remote Projected Duration: 12+ month contract Big Data Hadoop, Spark, PySpark Hands on Programming - Java, Scala, Python AWS Cloud - S3, EFS, MSK, ECS, EMR, Lambdas ...

Big Data Developer

$54.25 - $70.25/hr

Big Data Engineer Experian Contract Projected Duration - 12+ month contract Remote - HQ in Costa Mesa Big Data Hadoop, Spark, PySpark Hands on Programming - Java, Scala, Python AWS Cloud -S3, EFS ...

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ...

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Big Data Hadoop Developer information

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How much do big data hadoop developer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for big data hadoop developer in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Big Data Hadoop Developer, and why are they important?

To thrive as a Big Data Hadoop Developer, you need strong programming skills in Java, Python, or Scala, a solid understanding of distributed computing, and experience with Hadoop ecosystem tools, typically backed by a relevant degree in computer science or engineering. Familiarity with Hadoop components (HDFS, MapReduce, Hive, Pig, Spark), data ingestion tools (Sqoop, Flume), and certifications like Cloudera or Hortonworks are highly valued. Problem-solving, analytical thinking, and effective communication are essential soft skills that distinguish top performers in this role. These skills ensure efficient processing of large-scale data, enable collaboration with data teams, and support the development of scalable big data solutions.

What does a Big Data Hadoop Developer do?

A Big Data Hadoop Developer is responsible for designing, developing, and managing large-scale data processing applications using the Hadoop ecosystem. They work with massive volumes of structured and unstructured data, utilizing tools like HDFS, MapReduce, Hive, Pig, and Spark to process, analyze, and store data efficiently. Their role often includes writing scripts, optimizing queries, troubleshooting system issues, and collaborating with data scientists and analysts to meet business needs.

What are some common challenges Big Data Hadoop Developers face when working with large-scale data pipelines?

Big Data Hadoop Developers often encounter challenges such as optimizing the performance of distributed data processing jobs, managing resource allocation across Hadoop clusters, and ensuring data quality during ingestion and transformation. Additionally, they must address issues related to data security and handle the complexities of integrating Hadoop with other tools in the big data ecosystem. Collaborating closely with data engineers, analysts, and system administrators is crucial to troubleshoot problems and deliver reliable, scalable data solutions.

What Is a Hadoop Developer?

Software developers usually need a bachelor’s degree in computer science, software engineering, or a related field. However, hands-on experience is the most important qualification for Hadoop professionals. To become a big data Hadoop developer, you must understand how to use Hadoop software for big data applications, as well as every step of software development and implementation, including processing, programming, and scripting. You may gain this experience through a Hadoop certification program, software development internship, or on-the-job training. Additional qualifications include strong communication skills and the ability to work as part of a team.

What are the most commonly searched types of Big Data Hadoop Developer jobs? The most popular types of Big Data Hadoop Developer jobs are:
What states have the most Big Data Hadoop Developer jobs? States with the most job openings for Big Data Hadoop Developer jobs include:
What are popular job titles related to Big Data Hadoop Developer jobs? For Big Data Hadoop Developer jobs, the most frequently searched job titles are:
Hadoop Developer

$56/hr

Contractor

Posted 19 days ago


Job description

Company Description

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation.  Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function.  Organizations need to reduce training and labor costs but at same requiring the best "talent " for the job. 


Qualifications

Hadoop Developer needs 5+ years of Python, Java/ Scala. 


Hadoop Developer requires:

  • B.S. and M.S. in mathematics, computer science or engineering 
  • 3+ years of demonstrated technical proficiency with SPARK, big data projects, and experience in data modeling.
  • Experience
    designing and developing data ingestion and processing/transformation
    frameworks leveraging tools such as ADF, NiFi, Sqoop, Eclipse
  • Should
    have worked in Big data space for at least 5 years in Apache Spark,
    Hive and MapReduce. Experience with a variety of Big Data ETL tools,
    e.g. Spark, Hive, Kafka, Sqoop, MapReduce, Scala, Zookeeper, Etc
  • Should have experience in Cloudera or Hortonworks and exposure to Teradata is beneficial. 

Hadoop Developer duties:


  • Translate complex functional and technical requirements into detailed design
  • Proficiency in SPARK for technical development and implementation
  • Load disparate data sets by leveraging various big data technology (Kafka)
  • Ability to utilize Hive, Spark, Cassandra, MLlib, Typescript,NodeJS, Pyspark, Eclipse 
Additional Information

$56hr

6  MONTHS


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About Global Channel Management

Sourced by ZipRecruiter

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Global Channel Management understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at the same time requiring the best talent for the job. GCM's Ownership and Management teams have extensive Staffing, Recruiting, HR and Executive Leadership knowledge, Experience and Expertise. Our Understanding and Commitment to our Client's Satisfaction are key reasons GCM has been successful in establishing long term relationships.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Austell, GA, US

Year founded

2009

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