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Hadoop Python Jobs in Phoenix, AZ (NOW HIRING)

Judge Group, Inc.

Specialty Software Engineer

Phoenix, AZ · On-site

$76 - $81/hr

... Hadoop and cloud-based data platforms. * 3+ years of experience designing and implementing data ... Python * PySpark * SQL * Experience with Google Cloud Platform (Google Cloud Platform) services ...

Perficientcorp Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... HBase, Spark, Hadoop, HDFS) • Experience with Python web frameworks such as Django or Flask Company : "Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data ...

KollaSoft Inc

Sr Linux Engineers

Phoenix, AZ · On-site

... Hadoop (MapR, Cloudera) dev ops scripting/automation - unix bash shel, python, chef Qualifications Bachelor's Additional Information All your information will be kept confidential according to EEO ...

KollaSoft Inc

Sr Linux Engineers

Phoenix, AZ

... Hadoop (MapR, Cloudera) dev ops scripting/automation - unix bash shel, python, chef Qualifications Bachelor's Additional Information All your information will be kept confidential according to EEO ...

Sonsoft Inc

Big Data Consultant

Phoenix, AZ

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 ...

Sonsoft Inc

Big Data Consultant

Phoenix, AZ

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 ...

Sonsoft Inc

Big Data Consultant

Phoenix, AZ

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 ...

Motion Recruitment

Software Engineer 2

Phoenix, AZ · Hybrid

$92K - $126K/yr

... Python, pySpark, Apache Kafka, Airflow, and SQL, GPC Cloud Storage, BigQuery, Data Proc, Cloud ... Proven experience working with the Hadoop ecosystem capabilities such as Hive, HDFS, Parquet ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Develop and optimize data processing workflows using Python, PySpark, SQL, and related technologies ... Strong knowledge of Hadoop ecosystem technologies, including: * Hive * HDFS * Parquet * Apache ...

Sonsoft Inc

Big Data

Phoenix, AZ

$52.50 - $68.25/hr

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 ...

Sonsoft Inc

Big Data

Phoenix, AZ · On-site

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 ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Programming Languages Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine Learning ... Big Data Technologies Spark Hadoop basic understanding * Cloud Platforms Azure or AWS especially ...

Sonsoft Inc

Big Data/Cloud Consultant

Phoenix, AZ · On-site

$58 - $79.25/hr

At least 2 years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive ... Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ...

Career Guidant

Big Data with Financial Services

Phoenix, AZ · On-site

$52.50 - $68.25/hr

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 ...

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Hadoop Python information

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How much do hadoop python jobs pay per hour?

As of Sep 3, 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:

Hadoop Python jobs near you
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.

Specialty Software Engineer

Judge Group, Inc.

Phoenix, AZ • On-site

$76 - $81/hr

Other

Posted 22 days ago

Key responsibilities

  • Design, develop, and maintain scalable data pipelines and streaming solutions using modern cloud-native technologies.

  • Build and support real-time and batch data processing systems using Apache Spark, Kafka, Flink, and Python.

  • Architect and implement enterprise data lakehouse solutions leveraging industry-standard data storage and governance practices.

Job description

Location: Phoenix, AZ Salary: $76.00 USD Hourly - $81.00 USD Hourly Description:
Senior Data Engineer, Cloud & Streaming Platforms (Contract)
We are not accepting C2C or 1099 arrangements.
Location: Phoenix, AZ
Employment Type: Contract / Contingent Workforce
Experience Level: Mid-Senior (5+ Years)
About the Role
We are seeking a highly skilled Senior Data Engineer to design, build, and optimize large-scale cloud-native data platforms and streaming solutions. In this role, you will partner with cross-functional engineering, architecture, and business teams to develop scalable data pipelines, modern lakehouse architectures, and real-time data processing capabilities that support enterprise analytics and AI initiatives.
The ideal candidate has deep expertise in Google Cloud Platform (Google Cloud Platform), big data technologies, streaming frameworks, and modern data engineering practices, along with a strong track record of delivering cloud migration and data modernization programs.
Responsibilities
  • Design, develop, and maintain scalable data pipelines and streaming solutions using modern cloud-native technologies.
  • Build and support real-time and batch data processing systems using Apache Spark, Kafka, Flink, and Python.
  • Architect and implement enterprise data lakehouse solutions leveraging industry-standard data storage and governance practices.
  • Develop and optimize cloud-based data solutions using Google Cloud Platform (Google Cloud Platform) services, including:
    • BigQuery
    • Cloud Storage
    • Dataproc
    • Cloud Composer
  • Lead data migration initiatives from on-premises environments to cloud-native architectures.
  • Design and implement automated data quality, governance, monitoring, and security controls.
  • Collaborate with architects, engineers, product teams, and stakeholders to deliver scalable and reliable data solutions.
  • Build and maintain CI/CD pipelines and DevOps processes supporting data platform deployments.
  • Evaluate and implement emerging technologies to improve data engineering capabilities and operational efficiency.
  • Contribute to AI-enabled data solutions utilizing modern GenAI frameworks and agent-based architectures.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of professional experience in Data Engineering or related software engineering disciplines.
  • 5+ years of hands-on experience with Hadoop and cloud-based data platforms.
  • 3+ years of experience designing and implementing data lakehouse architectures.
  • 2+ years of hands-on experience developing streaming applications using:
    • Apache Kafka
    • Apache Flink
    • Spark Streaming
  • Strong programming experience with:
    • Python
    • PySpark
    • SQL
  • Experience with Google Cloud Platform (Google Cloud Platform) services including BigQuery, Cloud Storage, Dataproc, and Cloud Composer.
  • Experience with NoSQL technologies, including document, graph, key-value, and columnar databases.
  • Strong understanding of data warehousing, distributed computing, and cloud data architecture.
  • Experience with Hadoop ecosystem technologies such as:
    • Hive
    • HDFS
    • Parquet
    • Apache Iceberg
    • Delta Lake
  • Experience implementing scalable, resilient, and highly available data platforms.
Preferred Qualifications
  • Professional cloud certification such as:
    • Google Cloud Professional Data Engineer
    • AWS Specialty Data Analytics
    • Microsoft Azure Data Engineer Associate
  • Experience with GenAI frameworks such as LangChain and LangGraph.
  • Experience with DevOps and CI/CD tools including:
    • Git
    • Jenkins
    • Docker
    • Kubernetes
  • Experience developing web applications using React and Node.js.
  • Strong communication, stakeholder management, and consulting skills.
  • Experience working in highly collaborative Agile engineering environments.
Key Technologies
Cloud: Google Cloud Platform (Google Cloud Platform), BigQuery, Cloud Storage, Dataproc, Cloud Composer
Data Engineering: Spark, PySpark, Kafka, Flink, Airflow, SQL
Big Data: Hadoop, Hive, HDFS, Parquet, Iceberg, Delta Lake
Databases: NoSQL, Columnar, Graph, Document, Key-Value Stores
DevOps: Git, Jenkins, Docker, Kubernetes
AI/ML: LangChain, LangGraph
Frontend (Nice to Have): React, Node.js
This position offers the opportunity to work on large-scale enterprise data modernization initiatives, cloud transformation programs, and next-generation AI-driven data platforms.
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This job and many more are available through The Judge Group. Please apply with us today!

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