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Big Data Hadoop Developer Jobs (NOW HIRING)

Sarian, Inc.

Big Data, Hadoop Developer

Newark, DE · On-site

Previous experience as a Hadoop developer or big data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with ...

Sarian, Inc.

Big Data, Hadoop Developer

Newark, DE · On-site

Hadoop Developer * 7+ Years of experience in the data warehousing architectural approaches and minimum 4 years of experience in Big data(Cloudera). * Excellent working experience in HDFS, Hadoop ...

Sonsoft Inc

Big Data Hadoop Developer

Phoenix, AZ · On-site

Big Data Hadoop Developer (with experience on PIG, Hive, MapReduce, HDFS, HBase, Hive, YARN, Impala, Kafka, SPARK, Oozie, Java and shell scripting etc.) Job Location : Phoenix, Arizona (Phoenix is ...

Sonsoft Inc

Big Data/Hadoop Developer

Phoenix, AZ · On-site

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

Sonsoft Inc

Big Data/Hadoop Developer

Phoenix, AZ · On-site

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

GTS FZCO

Big data/Hadoop Developer

San Ramon, CA · On-site

Big data/Hadoop/spark/Scala/Kafka/Cassandra hands in Engineer. Must have worked on large projects. Debugging and logs knowledge is key. Both are top priorities. Additional Information All your ...

GTS FZCO

Big data/Hadoop Developer

San Ramon, CA · On-site

Big data/Hadoop/spark/Scala/Kafka/Cassandra hands in Engineer. Must have worked on large projects. Debugging and logs knowledge is key. Both are top priorities. Qualifications Additional Information ...

Sonsoft Inc

Big Data/Hadoop Developer

Phoenix, AZ · On-site

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

Stem Xpert

Hadoop/bigdata developer

Alpharetta, GA · On-site

$100 - $130/hr

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

TestingXperts

Big Data Hadoop

Chicago, IL · On-site

Must Have Skills 1. Hadoop 2. Talend 3. Hive Detailed Need developer with excellent technical skills with Big Data Hadoop Talend, Hive Top 3 responsibilities you would expect the Subcon to shoulder ...

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

As of Sep 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 is a big data 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 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 the key skills and qualifications needed to thrive as a big data Hadoop developer?

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 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.
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Big Data Hadoop Developer jobs near you
Infographic showing various Big Data Hadoop Developer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,474 per year, or $56 per hour.

Big Data, Hadoop Developer

Sarian, Inc.

Newark, DE • On-site

Full-time

Re-posted 14 days ago

Job description

JD:
  • Previous experience as a Hadoop developer or big data engineer.
  • Advanced knowledge of the Hadoop ecosystem and its components.
  • In-depth knowledge of Hive, HBase, and Pig.
  • Familiarity with MapReduce and Pig Latin Scripts.
  • Knowledge of back-end programming languages including JavaScript, Node.js, and OOAD.
  • Familiarity with data loading tools including Squoop and Flume.
  • High-level analytical and problem-solving skills.
  • Good project management and communication skills.

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