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Hadoop Python Jobs in Phoenix, AZ (NOW HIRING)

Syntricate Technologies

Bigdata Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Hadoop, Spark, and Snowflake utilities. Responsibilities : • Must have good experience working in ... using Python. • Should be able to work in person from Phoenix office 3 days a week.

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Build and support Spark‑based processing pipelines in Hadoop using PySpark and Python Develop and maintain real‑time streaming pipelines using Kafka Design and implement data flows using Spark ...

InterSources Inc

GCP ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... Python and other AI/Client Data science technologies • Expert on Hadoop and Spark Architecture and its working principle • Ability to design and develop optimized Data pipelines for batch and ...

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Build and support Spark‑based processing pipelines in Hadoop using PySpark and Python Develop and maintain real‑time streaming pipelines using Kafka Design and implement data flows using Spark ...

RIT Solutions, Inc.

AWS data engineer

Chandler, AZ · On-site

... like Python, Terraform, Scala or Java for data processing • Experience with ETL tools and ... like Hadoop, Spark or Kafka • Knowledge of data governance and compliance frameworks • ...

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

Role: Data Engineer Location: Phoenix, AZ onsite Job Type: Contract * Experience with strong data engineering and big data concepts (Hadoop, SQL, Hive) * Hands-on experience with PySpark and Python

RIT Solutions, Inc.

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data ... like Hadoop, Spark or Kafka • Knowledge of data governance and compliance frameworks • ...

Sarian, Inc.

BigData Developer

Phoenix, AZ · On-site

$51.50 - $67/hr

Big Data /Hadoop , SPARK , Python , Strong SQL ,GCP Roles & Responsibilities: Develop and maintain data pipelines using BigData processes Focus on ingesting, storing, processing, and analyzing large ...

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Hadoop Python information

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How much do hadoop python jobs pay per hour?

As of Sep 4, 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.

Python ETL Data Tester

E-Solutions, Inc.

Tempe, AZ • On-site

Other

Re-posted 14 hours ago

Job description

Job Tittle: - Python ETL Data Tester

Work Location: - Raleigh, NC, Richardson, TX, Tempe, AZ

Job Type: Full time/Permanent

Job description: -

  • Experience in Data/ETL Testing.
  • Experience in Python-based ETL test automation.
  • Experience in ETL Testing, Data Warehouse Testing, and Data Migration Testing.
  • Develop automation solutions using Python/Shell scripting for ETL and data validation activities.
  • Experience in SQL and database validation across Oracle, SQL Server, PostgreSQL, Snowflake, AWS Redshift, or BigQuery.
  • Validate source-to-target mappings, transformation rules, data lineage, and business logic as per mapping documents.
  • Perform data reconciliation, completeness checks, referential integrity, duplicate detection, and data quality validations.
  • Experience in ETL tools such as Informatica, Ab Initio, ODI, SSIS, DataStage, Azure Data Factory, or Databricks.
  • Strong understanding of Data Warehousing concepts including Facts, Dimensions, Star Schema, and SCD validations.
  • Experience validating cloud-based data platforms on AWS, Azure, Databricks, Snowflake, or Google Cloud Platform.
  • Hands-on experience with batch job validation, workflow monitoring, and scheduling tools such as Autosys, Control-M, or Airflow.
  • Implement test strategies, prepare and execute test cases, analyze results, and coordinate defect resolution to ensure data quality.
  • Collaborate with business, development, and data engineering teams to ensure accurate and reliable data delivery.
  • Maintain detailed documentation of test scenarios, SQL validations, automation assets, and testing processes.

Preferred Skill and Experience

  • Experience in BI Reporting validation using Power BI, Tableau, Qlik, or MicroStrategy.
  • Experience in Big Data technologies such as Hadoop, Spark, Hive, and Kafka.
  • Knowledge of AI-enabled Data Quality and Data Governance solutions.
  • Banking, Capital Markets, Wealth Management, or Mortgage domain experience.

Additional Required Qualifications

  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

Python ETL Data Tester2Python,etlN/AFull TimeUnited States

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