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Entry Level Hadoop Developer Jobs (NOW HIRING)

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a ...

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Entry Level Hadoop Developer information

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

As of Aug 15, 2026, the average hourly pay for entry level hadoop developer in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $65.38 per hour, depending on experience, location, and employer.

What is an entry level Hadoop developer?

An Entry Level Hadoop Developer is responsible for developing, maintaining, and managing big data applications using Hadoop and related technologies. They assist in writing MapReduce programs, managing Hadoop clusters, and optimizing data processing workflows. Typically, they work under the guidance of senior developers to ensure efficient data storage, retrieval, and processing. Strong knowledge of Hadoop ecosystems like HDFS, Hive, Pig, and Spark is essential. This role serves as a foundation for building expertise in big data engineering and analytics.

How to become an entry level Hadoop developer?

To become an entry-level Hadoop developer, you should gain a solid understanding of big data concepts and learn Hadoop ecosystem components such as HDFS, MapReduce, and YARN. Acquiring programming skills in Java or Python, completing relevant training or certifications, and gaining hands-on experience with Hadoop tools can improve your job prospects.

What does an entry level Hadoop developer do?

As an Entry Level Hadoop Developer, you will commonly be responsible for developing, testing, and troubleshooting big data applications using Hadoop ecosystem tools under the guidance of senior engineers. You’ll handle tasks such as loading data, writing simple MapReduce jobs, and maintaining data pipelines, often collaborating with data analysts, data scientists, and database administrators. Daily responsibilities may include monitoring Hadoop clusters, addressing performance issues, and assisting with basic data integration projects. The role provides valuable on-the-job training, and as you gain experience, you may take on more complex projects and grow into advanced developer or data engineering roles.

What are the key skills and qualifications needed to thrive as an entry level Hadoop developer?

To thrive as an Entry Level Hadoop Developer, you need a solid understanding of Java or Python programming, basic knowledge of big data concepts, and a bachelor’s degree in computer science or a related field. Familiarity with Hadoop ecosystem tools such as HDFS, MapReduce, Pig, and Hive, as well as relevant certifications like Cloudera Certified Associate (CCA), is highly beneficial. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with team members will set you apart. These skills ensure that you can efficiently manage, process, and analyze large datasets while working productively within a data engineering team.

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Infographic showing various Entry Level Hadoop Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Data Scientist

Noblesoft Solutions

Jacksonville, FL • On-site

Contractor

Re-posted 7 days ago


Job description

Company Description
Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies.
Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products.
Our History
After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country.
Job Description
This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.
Qualifications
Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Data Scientist
• Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
• Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
• Implementing processes that improve and lead to greater data quality
• Conducting statistical analyses to develop strategies
• Documenting all processes and research
• Building new algorithms and model training
• Executing projects involving analytics
• Identifying data patterns and trends
• Analyzing data to develop predictive models
• Creating, managing, and maintaining analytically rigorous data
• Possessing a solid machine learning foundation
• Proven record of successful statistical product delivery
• Ability to execute health insurance use cases via statistical applications such as R or Python
• Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark)
• Significant experience with SQL and working with large datasets required
• Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate
• Noting anomaly detection and running diagnostics
• Performing graphical model analysis
• Strong verbal and written communication skills
Additional Information
Candidates would Roll Perm at some point