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Entry Level Big Data Hadoop Developer Jobs (NOW HIRING)

Apex Informatics

Hadoop Developer

Addison, TX · On-site

... with Hadoop/Big Data and Distributed Systems • Working experience with Spark, Sqoop, Kafka ... on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few ...

Jobsbridge

Hadoop Developer

Atlanta, GA

... Hadoop Developer with hands-on experience Hadoop- Hadoop ecosystem, Java MapReduce, Pig, Hive ... Experience in Big Data Storage and File System Design. * Experience in performing troubleshooting ...

Jobsbridge

Big Data Consultant (Hadoop)

San Jose, CA · On-site

Big Data/Data explorer/Big Insights Consultants are responsible for successful delivery of industry ... Hadoop applications (development, debugging, and performance tuning). - They will have previous ...

krg technology inc

Big Data Architect

Fort Myers, FL

$59.50 - $76.50/hr

... engineer and architect across domains Past hands on experience with open source Big data technologies - Spark, HBase, Hadoop, MapR and Map/Reduce, Pig, Hive OR exposure to commercial platform Big ...

Jobsbridge

Hadoop Developer

New York, NY · On-site

Detailed Design and Develop Big Data software systems for complex data analytics requirements ... Engineering best practices Experience with other related tools and technologies in Hadoop ...

Jobsbridge

Hadoop Developer

Redlands, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... in Hadoop Strong Java programming, shell scripting, Python, and SQL Strong development skills ...

Jobsbridge

Jr.Hadoop Developer

San Jose, CA · On-site

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Requirements: 3 years of experience with Hadoop ...

Jobsbridge

Jr.Hadoop Developer

San Jose, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Requirements: 3 years of experience with Hadoop ...

Precision Technologies Corp

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Big Data Engineer Location: Jersey City, NJ Type: Full-Time Description : We are seeking an ... The ideal candidate should have strong expertise in Hadoop, Spark, Hive, and distributed computing ...

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

As of Jun 10, 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.

More about Entry Level Big Data Hadoop Developer jobs
What cities are hiring for Entry Level Big Data Hadoop Developer jobs? Cities with the most Entry Level Big Data Hadoop Developer job openings:
Entry Level Big Data Hadoop Developer jobs near you
Infographic showing various Entry Level Big Data Hadoop Developer job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.
Hadoop Developer

Hadoop Developer

Apex Informatics

Addison, TX • On-site

Contractor

Posted 7 days ago

Job description

Hadoop Developer with Python
Duration: 12 Months plus
Location: Hybrid - Addison, TX
Must Have skills: Hadoop, Python/Scala, SparkSQL
• Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL
• Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json, csv, xml
• Experience working with SPARK Structured steaming
• Experience working with Hadoop/Big Data and Distributed Systems
• Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
• Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few
• Performance tuning experience with spark /MapReduce or SQL jobs
• Experience and proficiency with Linux operating system is a must
• Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines
• Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
• Experience using Source Code and Version Control systems like SVN, Git, Bit Bucket etc.
• Experience working with Jenkins and Jar management
• Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
• Ability to comprehend customer requests and provide the correct solution
• Strong analytical mind to help take on complicated problems
• Desire to resolve issues and dive into potential issues
• Ability to adapt and continue to learn new technologies is important

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