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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 ...

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 ...

... 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 ...

... 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 ...

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 ...

... 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 ...

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 ...

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 ...

Senior Big Data Developer

Bristol, CT ยท On-site

$53 - $68.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Big Data, Hadoop, Spark AWS - Redshift Strong Java development Qualifications Big Data, Hadoop ...

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 ...

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 ...

Company Description Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on ...

At least 2 years of experience in Big Data space . * At least 2 years of Strong Hadoop Experience - MAP REDUCE/Hive/Pig/SQOOP/OOZIE - MUST * Candidate should have hands on experience with Java, APIs ...

Experience in 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 ...

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Entry Level Big Data Hadoop Developer information

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

As of Jun 9, 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 does an Entry Level Big Data Hadoop Developer do?

An Entry Level Big Data Hadoop Developer is responsible for assisting in the design, development, and maintenance of large-scale data processing systems using Hadoop and related technologies. They work with big data tools such as HDFS, MapReduce, Hive, and Spark to collect, store, and analyze vast amounts of data. Their tasks often include writing code, troubleshooting data processing issues, and supporting senior developers in implementing data solutions. This role is ideal for those starting their careers in big data engineering and looking to gain hands-on experience with Hadoop ecosystems.

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:

Big Data, Hadoop Developer

Sarian, Inc.

Newark, DE โ€ข On-site

Full-time

Posted 17 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.