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Hadoop Python Jobs (NOW HIRING)

Programmers.io

Hadoop Admin

Austin, TX · On-site

Preferred exposure in Java/Python/Scala * Preferred exposure in OpenSearch * Preferred experience to support Open-Source Production Kafka/Hadoop/Druid clusters. * Follow the sun model 24*7 including ...

Arka Infotech Inc

Hadoop Developer

Wilmington, DE · On-site

Hadoop Developer Location: Wilmington, DE Length: 2 years F2F REQUIRED Visa copy required for ... Python, Perl, JavaScript, Shell) - Experience designing, developing, and implementing ETL and ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR · On-site

... python, hive and pig; Ability to design and implement end to end solution. • Build libraries ... Hadoop • Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco ...

Centraprise

Hadoop Developer

Jersey City, NJ · On-site

Hadoop ecosystem (HDFS, Hive, Spark),PySpark,Python,Apache Kafka Secondary: UI - Angular. Experience: Minimum 9 years Roles & Responsibilities Architectural Leadership: • Define end-to-end ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR

... cascading, python, hive and pig; Ability to design and implement end to end solution. Build ... Hadoop Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system ...

Delan Associates, Inc

Data Engineer II

Arlington, VA

$131K - $158K/yr

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in office. Please Focus on local resources or candidates within a commutable distance to Arlington ...

Jobsbridge

Hadoop Architect/Admin

Sunnyvale, CA · On-site

... or Python and Shell Scripting(TCL) 4) Should have knowledge of Linux Administration and ... Hadoop Hortonworks upgrade experience 6) Hive,Oozie,Spark,Nagio,Ambari and all BigData related ...

Zortech Solutions

Hadoop Developer

Addison, TX · On-site

Hadoop ,Spark,(Scala or Python) • 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 ...

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How much do hadoop python jobs pay per hour?

As of Jul 15, 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.

Is Hadoop admin a good career?

Hadoop administration is a viable career path for those interested in managing big data infrastructure, requiring skills in Hadoop ecosystem tools, Linux, and scripting. It offers opportunities in data management, analytics, and cloud environments, with demand driven by data-driven business needs. Certifications like Cloudera or Hortonworks can enhance job prospects.

Are Python still in demand in 2026?

Python remains highly in demand for roles like Hadoop Python developers, as it is widely used for data processing, scripting, and automation in big data environments. Its versatility and strong community support ensure continued relevance, especially when combined with skills in Hadoop, Spark, and cloud platforms.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows Python scripts to process data within Hadoop jobs. Additionally, frameworks such as PySpark enable Python developers to work with Apache Spark on Hadoop clusters for big data processing. Knowledge of these tools is beneficial for Hadoop Python roles.

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.

What is the highest paying job in Python?

The highest paying Python-related jobs include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or scikit-learn. These positions typically offer salaries exceeding $120,000 annually, especially with experience and relevant certifications.

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:
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 July 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.
Hadoop Admin

Hadoop Admin

Programmers.io

Austin, TX • On-site

Full-time

Re-posted 19 days ago

Job description

Job Description:

  1. 5+ years’ experience needed as Hadoop/Kafka Administrator.
  2. Must have good exposure to Red Hat or CentOS Linux and shell scripting.
  3. Preferred exposure in Java/Python/Scala
  4. Preferred exposure in OpenSearch
  5. Preferred experience to support Open-Source Production Kafka/Hadoop/Druid clusters.
  6. Follow the sun model 24*7 including weekend support needed.
  7. Preferred skills Managing CI/CD pipeline including deployment.