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Hadoop Python Jobs in Phoenix, AZ (NOW HIRING)

Big Data Engineer

Phoenix, AZ ยท On-site

$55.25 - $73.25/hr

Hadoop , Spark (Batch/Streaming) , Hive , Python , Google Cloud Platform , Shell Scripting , Java , Scala The Skills You''ll Need: * Proven experience with Hadoop , Spark (Batch/Streaming) , and Hive

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Strong understanding of hadoop fundamentals * Strong understanding of RDBMS concepts and experience ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

Strong understanding of hadoop fundamentals * Strong understanding of RDBMS concepts and experience ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

Strong understanding of hadoop fundamentals * Strong understanding of RDBMS concepts and experience ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Big Data Hadoop Developer (with experience on PIG, Hive, MapReduce, HDFS, HBase, Hive, YARN, Impala ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... preferably Python, Perl, Javascript, UNIX shell Should have worked on large data sets and ...

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... preferably Python, Perl, Javascript, UNIX shell Should have worked on large data sets and ...

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... preferably Python, Perl, Javascript, UNIX shell Should have worked on large data sets and ...

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... preferably Python, Perl, Javascript, UNIX shell Should have worked on large data sets and ...

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Hadoop Python information

See Phoenix, AZ salary details

$10

$59

$72

How much do hadoop python jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for hadoop python in Phoenix, AZ is $59.47, according to ZipRecruiter salary data. Most workers in this role earn between $56.59 and $64.90 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 Phoenix, AZ?

For Hadoop Python jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Hadoop Python jobs in Phoenix, AZ look for?

The top searched job categories for Hadoop Python jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Hadoop Python jobs?

Cities near Phoenix, AZ with the most Hadoop Python job openings:

Infographic showing various Hadoop Python job openings in Phoenix, AZ as of June 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,692 per year, or $59.5 per hour.

Big Data Engineer

V-CENTRIX-US LLC

Phoenix, AZ โ€ข On-site

$55.25 - $73.25/hr

Other

Posted 4 days ago


Job description

Hello,

I hope you''re doing well.

I''m Abhay from Inceptra Solutions LLC. We have an exciting opportunity with AMEX for a Big Data Engineer.

Role: Big Data Engineer

Type: Long-Term Contract

Location: Phoenix, AZ (Onsite/Hybrid)

Top Skills: Hadoop, Spark (Batch/Streaming), Hive, Python, Google Cloud Platform, Shell Scripting, Java, Scala

Job Description

The Skills You''ll Need:

  • Proven experience with Hadoop, Spark (Batch/Streaming), and Hive.
  • Proficiency in Shell Scripting and programming languages such as Python, Java, and/or Scala.
  • Ability to design, develop, and deploy big data solutions in a high-performance environment.
  • Excellent problem-solving skills and the ability to work independently or as part of a team.
  • Strong communication skills to effectively collaborate with team members and stakeholders.
  • Proven experience with Google Cloud Platform services and tools for big data solutions.

Roles & Responsibilities

Your Adventure Includes:

  • Development: Design and develop scalable big data solutions using Hadoop, Spark, and Hive.
  • Design: Architect and implement big data pipelines and workflows, ensuring efficiency, security, and reliability.
  • Deployment: Deploy big data solutions, leveraging best practices for optimal performance in large-scale environments.
  • Optimization: Optimize big data solutions to improve performance, scalability, and cost-efficiency.
  • Collaboration: Work closely with cross-functional teams to integrate big data solutions with business goals.

Mandatory Skills

  • Hadoop
  • Python
  • Spark
  • Google Cloud Platform

If you''re interested, please share your updated resume along with your availability for a quick discussion.

Looking forward to hearing from you.

Thanks & Regards

Abhay Kumar Jain

Senior Technical Recruiter

INCEPTRA SOLUTIONS LLC

1101 Perimeter Drive, Schaumburg, IL 60173, USA

 

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