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Hadoop Python Jobs (NOW HIRING)

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 ...

Required : • Experience in Hadoop, Python, and Spark. • Good experience in end-to-end implementation of data warehouse and data marts and Pyspark Development. • Knowledge and hands-on ...

Senior Java Developer

Bellevue, WA

$64.50 - $82.50/hr

Company Description Intelliswift Software, Inc Java J2EE, Hadoop, Python 6+ years of large scale, full life cycle development experience. 5+ years of experience in Java. Experience with Python.

Senior Java Developer

Bellevue, WA

$64.50 - $82.50/hr

Title: Senior Java Developer Location: Bellevue, WA Duration: 6-12 contract Required skills Java J2EE, Hadoop, Python 6+ years of large scale, full life cycle development experience. 5+ years of ...

Node.JS Engineer

San Diego, CA · On-site

$54.50 - $70.25/hr

Also familiar with Python, Ruby, or Go - Familiar with HTML, CSS, JavaScript, jQuery Qualifications Node.JS, JavaScript, Ruby on Rails, AWS, Cassandra, Hadoop, Python, MongoDB Additional Information ...

Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark, SQL , The ideal candidate must have 9+ years of hands-on data engineering experience building large-scale ETL pipelines using ...

Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop Streaming, Sqoop, Oozie, etc. Solid understanding of MapReduce and how the Hadoop Distributed File System work. Experience with ...

Hadoop Lead with Python Location: Beaverton, OR Duration: Full Time : Responsibilities: Design and implement map reduce jobs to support distributed processing using java, python, hive and pig;

Python Required Qualifications * 8+ Years of IT experience with 5+ Years of relevant experience in developing solutions using Python and Hadoop technologies * Good programming knowledge with Hadoop ...

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Hadoop Python information

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How much do hadoop python jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for hadoop python 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 are the key skills and qualifications needed to thrive as a Hadoop Python developer?

To thrive as a Hadoop Python Developer, you need a strong understanding of distributed computing, Hadoop ecosystem components (like HDFS, MapReduce, Hive, or Pig), and advanced Python programming skills, often supported by a degree in computer science or related field. Familiarity with tools such as Apache Spark, Sqoop, and workflow schedulers (like Oozie or Airflow), along with experience in handling big data platforms, is typically required. Problem-solving abilities, attention to detail, and effective communication help developers collaborate with teams and translate business requirements into scalable data solutions. These skills and qualifications are essential for efficiently processing and analyzing large datasets, ensuring data reliability, and driving business insights.

What is the difference between Hadoop Python vs Hadoop Java Developer?

AspectHadoop PythonHadoop Java Developer
Required CredentialsPython programming skills, Hadoop certificationsJava programming skills, Hadoop certifications
Work EnvironmentData analysis, scripting, data pipeline developmentCore development, system integration, big data application coding
Industry UsageData science, analytics, machine learning projectsData infrastructure, platform development, system optimization

Hadoop Python and Hadoop Java Developer roles both involve working with Hadoop ecosystems, but Python focuses more on data analysis and scripting, while Java is geared towards core development and system integration. The choice depends on your programming expertise and career goals within big data environments.

What is a Hadoop Python developer?

A Hadoop Python developer is a software professional who specializes in using Python programming language to develop, implement, and maintain applications that process and analyze large datasets within the Hadoop ecosystem. They leverage Python libraries like PySpark to write scalable data processing scripts, interact with Hadoop components such as HDFS, and optimize big data workflows. These developers play a critical role in building data pipelines, performing data transformation, and supporting analytics projects in organizations that handle vast amounts of data.

How do Hadoop Python developers typically collaborate with data engineers and analysts on large-scale data projects?

Hadoop Python developers frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines for handling vast datasets. They are responsible for writing Python scripts that interface with Hadoop components, ensuring data is processed efficiently and meets project requirements. Regular communication with data engineers helps align on infrastructure and architectural decisions, while close collaboration with analysts ensures data outputs are accurate and actionable. Agile methodologies and daily stand-ups are common, fostering teamwork and quick problem-solving.
More about Hadoop Python jobs
What cities are hiring for Hadoop Python jobs? Cities with the most Hadoop Python job openings:
What states have the most Hadoop Python jobs? States with the most job openings for Hadoop Python jobs include:
Infographic showing various Hadoop Python job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Sr Hadoop/Python Developer

Ruri Software Technologies LLC

Jacksonville, FL • On-site

Full-time

Re-posted 17 days ago


Job description

Job Title:- Sr Hadoop/Python Developer
Location: Jacksonville,FL (Only Locals)
Contract:- 8+ Months
**IMPORTANT: Must be hybrid onsite (2-3 days per week in Jacksonville). Candidates must be local to the greater Jacksonville area or open to travel at own expense
A Hadoop developer is responsible for the design, development, and operations of systems that store and manage large amounts of data. Most Hadoop developers have a computer software background and have a degree in information systems, software engineering, computer science, or mathematics.
IT Developers are responsible for the development, programming, and coding of Information Technology solutions. IT Developers are responsible for documenting detailed system specifications, participating in unit testing and maintenance of planned and unplanned internally developed applications, evaluation and performance testing of purchased products. IT Developers are responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and the data processed or output by the application. IT Developers are assigned to moderately complex development projects.
Essential Functions:
• Write code for moderately complex system designs. Write programs that span platforms. Code and/or create Application Programming Interfaces (APIs).
• Write code for enhancing existing programs or developing new programs.
• Review code developed by other IT Developers.
• Provide input to and drive programming standards.
• Write detailed technical specifications for subsystems. Identify integration points.
• Report missing elements found in the system and functional requirements and explain impacts on the subsystem to team members.
• Consult with other IT Developers, Business Analysts, Systems Analysts, Project Managers, and vendors.
• "Scope" time, resources, etc., required to complete programming projects. Seek reviews from other IT Developers, Business Analysts, Systems Analysts or Project Managers on estimates.
• Perform unit testing and debugging. Set test conditions based on code specifications. May need assistance from other IT Developers and team members to debug more complex errors.
• Supports transition of application throughout the Product Development life cycle. Document what has to be migrated. May require more coordination points for subsystems.
• Researches vendor products/alternatives. Conducts vendor product gap analysis/comparison.
• Accountable for including IT Controls and following standard corporate practices to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application.
• The essential functions listed represent the major duties of this role, additional duties may be assigned.
• Knowledge of the Hadoop ecosystem and its components
• Experience in writing MapReduce jobs and Pig Latin scripts.
Job Requirements:
• Experience and understanding with unit testing, release procedures, coding design, and documentation protocol as well as change management procedures
• Proficiency in using versioning tools
• Thorough knowledge of Information Technology fields and computer systems
• Demonstrated organizational, analytical, and interpersonal skills
• Flexible team player
• Ability to manage tasks independently and take ownership of responsibilities
• Ability to learn from mistakes and apply constructive feedback to improve performance
• Must demonstrate initiative and effective independent decision-making skills
• Ability to communicate technical information clearly and articulately
• Ability to adapt to a rapidly changing environment
• In-depth understanding of the systems development life cycle
• Proficiency in programming in more than one object-oriented programming language
• Proficiency using standard desktop applications such as MS Suite and flowcharting tools such as Visio
• Proficiency in using debugging tools
• High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy
Specific Tools/Languages Required:
HADOOP
Spark
Scala
Java
Python
Boomi
Mongo
PostgreSQL
REQUIRED EDUCATION/EXPERIENCE:
• Related Bachelor's degree in an IT-related field or relevant work experience
• 5-8 years related work experience or equivalent combination of transferable experience and education in IT development/programming/coding within a Hadoop environment
• Experience with Agile Methodology
• Must have experience with Spark/Scala/Hadoop with decent Python working experience as well
• Experience with the following databases required: Mongo DB or DB2 or SQL Server
• Desirable: Experience with Java and Dell Boomi and Postgres/Impala DB
Comments for Suppliers: **IMPORTANT: Must be hybrid onsite (2-3 days per week in Jacksonville). Candidates must be local to the greater Jacksonville area or open to travel at own expense