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Hadoop Python Jobs (NOW HIRING)

Apex Informatics

Hadoop Developer

Addison, TX · On-site

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 ...

Jobsbridge

Senior Java Developer

Bellevue, WA · On-site

$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.

Infosys

Hadoop and PySpark Developer

Plano, TX · On-site

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 ...

Infosys

Hadoop and PySpark Developer

Charlotte, NC · On-site

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 ...

Brilliant Infotech

Python Developer with Hadoop

Chicago, IL · On-site

$51.75 - $71.50/hr

Python Developer with Hadoop Background Chicago, IL, Denver, CO, Jacksonville, FL, Charlotte, NC (Onsite interview from these locations only) W2 Candidates only 5 Days Onsite Python + Sql + Hive ...

INTELLISWIFT INC

Senior Java Developer

Bellevue, WA · On-site

$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 ...

Jobsbridge

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 ...

Jobsbridge

Hadoop Developer

San Francisco, CA · On-site

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 ...

CEI

Quality Assurance Lead

Pittsburgh, PA · On-site

$50/hr

In depth SQL/HQL/Hadoop knowledge with Python development is mandatory. * Candidate must have both python development and ETL testing experience and able to handle the testing work independently.

Apex Systems

Senior Hadoop Developer

Charlotte, NC

$60 - $65.06/hr

Proficiency in Hadoop, Python, and Teradata is required for this role. Compensation & Benefits The pay rate for this position is between $60.00 and $65.06 per hour. Benefits are available to eligible ...

Ventures Unlimited Inc

Hadoop Lead

Beaverton, OR · On-site

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;

MM International

Hadoop Developer

Addison, TX · On-site

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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How much do hadoop python jobs pay per hour?

As of Jun 4, 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, and why are they important?

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.

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.

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.

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.

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:
What job categories do people searching Hadoop Python jobs look for? The top searched job categories for Hadoop Python jobs are:
Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in the United States as of May 2026, with employment types broken down into 28% Full Time, 32% Part Time, 2% Temporary, and 38% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.
Hadoop Developer

Hadoop Developer

Apex Informatics

Addison, TX • On-site

Contractor

Posted yesterday

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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