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Entry Level Big Data Hadoop Developer Jobs (NOW HIRING)

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 ...

... Hadoop Developer role The main function of a Hadoop Developer is to design, develop, code, test ... big data analytics. Qualifications Additional Information All your information will be kept ...

Big Data, Hadoop, Python & Angular Job Summary We are seeking an experienced Big Data Engineer to join a high-performing team supporting enterprise-scale data initiatives for Wells Fargo through ...

They are seeking a Hadoop Developer with experience in Big Data and DW/BI technologies to contribute to their projects. Responsibilities : • At least 2 years of experience in Big Data space. • At ...

As a Hadoop developer, you will provide technical expertise and aptitude to Hadoop technologies as ... You will be responsible for the planning and execution of big data analytics, predictive analytics ...

As a Hadoop developer, you will provide technical expertise and aptitude to Hadoop technologies as ... You will be responsible for the planning and execution of big data analytics, predictive analytics ...

The main function of a Hadoop Developer is to design, develop, code, test, and debug new software ... and support big data analytics. Job Responsibilities: Develops code necessary to complete the ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Experience with Apache Hadoop Administration (Preferred Cloudera Framework). * Experience with ...

They are seeking a Hadoop Developer with experience in Big Data and DW/BI technologies to contribute to development and maintenance projects. Responsibilities : • At least 2 years of experience in ...

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Entry Level Big Data Hadoop Developer information

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$10

$55

$71

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

As of Aug 15, 2026, the average hourly pay for entry level 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 an entry level big data Hadoop developer, and why are they important?

To thrive as an Entry Level Big Data Hadoop Developer, you need a strong understanding of Java, Python, or Scala programming, basic knowledge of data structures, and a relevant degree in computer science or a related field. Familiarity with Hadoop ecosystems such as HDFS, MapReduce, Hive, Pig, and experience with tools like Apache Spark and basic SQL are typically required. Analytical thinking, problem-solving, and effective communication skills help you collaborate with teams and troubleshoot data issues efficiently. These skills are essential for processing and managing large datasets, ensuring data reliability, and supporting business analytics initiatives.

What are some common challenges faced by entry level big data Hadoop developers when working on real-world projects?

Entry level Big Data Hadoop Developers often encounter challenges such as understanding the complexities of distributed systems, optimizing data processing jobs for performance, and troubleshooting cluster-related issues. Navigating large-scale datasets and learning to use tools like Hive, Pig, and Spark can also be initially overwhelming. However, most teams provide mentorship, documentation, and collaborative opportunities to help new developers ramp up quickly and contribute effectively. Over time, hands-on experience with various data pipelines and close collaboration with data engineers and analysts will help you build confidence and expertise.

What does an entry level big data Hadoop developer do?

The job duties of an entry-level big data Hadoop developer involve working with the Apache Hadoop framework. The responsibilities of someone in this career include customizing software to manage, store, process, and analyze large amounts of data. An entry-level big data Hadoop developer utilizes the Java coding language. In addition to programming, they may create a script for data querying, tracking, and analysis. A professional in this role usually works under the supervision of senior members of an information technology department.

What is the difference between Entry Level Big Data Hadoop Developer vs Data Analyst?

AspectEntry Level Big Data Hadoop DeveloperData Analyst
Required SkillsHadoop, MapReduce, SQL, Java/Python, LinuxSQL, Excel, Data Visualization, Statistical Analysis
CertificationsHadoop certifications, Java/Python basicsExcel, Tableau, Power BI certifications
Work EnvironmentBig data environments, data processing teamsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, telecomRetail, finance, marketing, healthcare

While both roles involve working with data, Entry Level Big Data Hadoop Developers focus on building and maintaining large-scale data processing systems using Hadoop, whereas Data Analysts interpret data to generate insights and reports. The former requires knowledge of big data tools and programming, while the latter emphasizes data visualization and statistical skills.

What cities are hiring for Entry Level Big Data Hadoop Developer jobs?

Cities with the most Entry Level Big Data Hadoop Developer job openings:

Infographic showing various Entry Level Big Data Hadoop Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Hadoop developer

Sarian, Inc.

Charlotte, NC • On-site

Full-time

Re-posted yesterday


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.