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Hadoop Python Jobs in Orlando, FL (NOW HIRING)

Photon

Sr Java Big Data Developer- Tampa FL

Orlando, FL · On-site

$53.50 - $68.25/hr

Bigdata ecosystem (Good understanding of Hadoop, preferable cloud era distribution), exposure to ... Unix/Python shell scripting experience is a big plus * Experience managing global technology teams

Photon

Sr Java Big Data Developer- Tampa FL

Orlando, FL · On-site

$53.50 - $68.25/hr

Bigdata ecosystem (Good understanding of Hadoop, preferable cloud era distribution), exposure to ... Unix/Python shell scripting experience is a big plus * Experience managing global technology teams

Kanak Elite Services Inc

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python * 1+ years of proven experience building data pipelines and ETL ...

Photon

Sr PySpark developer - Tampa

Orlando, FL · On-site

Hands-on experience with big data frameworks (Hadoop, Kafka, etc.). * Expertise in cloud platforms (AWS, Azure, or GCP). * Proficiency in Python programming and data manipulation. * Knowledge of ETL ...

Photon

Sr PySpark developer - Tampa

Orlando, FL · On-site

Hands-on experience with big data frameworks (Hadoop, Kafka, etc.). * Expertise in cloud platforms (AWS, Azure, or GCP). * Proficiency in Python programming and data manipulation. * Knowledge of ETL ...

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How much do hadoop python jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hadoop python in Orlando, FL is $55.91, according to ZipRecruiter salary data. Most workers in this role earn between $53.17 and $61.06 per hour, depending on experience, location, and employer.

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 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.

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 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 are jobs in Hadoop Python?

Jobs in Hadoop Python typically involve developing and maintaining data processing tasks using Python scripts within the Hadoop ecosystem. These roles often require knowledge of Hadoop frameworks like MapReduce or Spark, along with Python programming skills, to handle large-scale data analysis and processing tasks. They may also involve working with distributed systems and data pipelines in a big data environment.

What are popular job titles related to Hadoop Python jobs in Orlando, FL?

For Hadoop Python jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Hadoop Python jobs in Orlando, FL look for?

The top searched job categories for Hadoop Python jobs in Orlando, FL are:

Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Orlando, FL as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $116,293 per year, or $55.9 per hour.

Sr Java Big Data Developer- Tampa FL

Photon

Orlando, FL • On-site

$53.50 - $68.25/hr

Full-time

Re-posted 14 days ago

Job description


Qualifications
  • Minimum 8+ years of relevant experience in applications development

  • Expertise in Bigdata ecosystem (Cloudera Distribution) using spark and Map Reduce

  • Java (core) 1.8 or above - Hands-on experience (advanced concepts of data structures, memory management and design patterns)

  • Apache Spark - Hands on (preferable on Java spark)

  • Bigdata ecosystem (Good understanding of Hadoop, preferable cloud era distribution), exposure to Hive, Impala, Yarn, Kafka

  • Good Data analysis and programing skills and understanding of large datasets (no sql joins)

  • Good knowledge of Java and spark architecture and design principles

  • Good experience in Junit/Testing frameworks

  • Unix/Python shell scripting experience is a big plus

  • Experience managing global technology teams

  • Working knowledge of industry practices and standards

  • Good communication skills

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