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Hadoop Python Jobs in Goodyear, AZ (NOW HIRING)

... 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 • ...

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

New

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 • ...

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 ...

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 ...

Preferred At least 4 year of experience in Core JAVA or Python At least 1 year of experience in Hadoop OR Spark At least 1 year of experience in HBASE OR, Cassandra At least 0.5 year of experience in ...

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 ...

... 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 ...

... 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 ...

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 ...

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

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 ...

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

See Goodyear, AZ salary details

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How much do hadoop python jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for hadoop python in Goodyear, AZ is $58.52, according to ZipRecruiter salary data. Most workers in this role earn between $55.67 and $63.89 per hour, depending on experience, location, and employer.

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.

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.
What job categories do people searching Hadoop Python jobs in Goodyear, AZ look for? The top searched job categories for Hadoop Python jobs in Goodyear, AZ are:
What cities near Goodyear, AZ are hiring for Hadoop Python jobs? Cities near Goodyear, AZ with the most Hadoop Python job openings:

AWS data engineer

RIT Solutions, Inc.

Chandler, AZ • On-site

Full-time

Re-posted 21 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking an AWS Data Engineer to join their team in Chandler, AZ. The role involves working with AWS services, data warehousing, and ETL tools to manage and process data effectively.
Responsibilities:
• Strong proficiency with AWS services (e.g. S3, Glue, Macie)
• Experience with SQL and NoSQL databases
• Proficiency in programming languages like Python, Terraform, Scala or Java for data processing
• Experience with ETL tools and frameworks (e.g. AWS Glue, Apache Spark)
• Familiarity with data modeling, schema design and data warehousing concepts
• Knowledge of CI/CD practices and version control systems
• Strong problem solving skills and attention to detail
• Experience with big data technologies like Hadoop, Spark or Kafka
• Knowledge of data governance and compliance frameworks
• Experience with IaC tools like Terraform
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering or related field
• 5+ years of experience as a Data Engineer or similar role
• Strong proficiency with AWS services (e.g. S3, Glue, Macie)
• Experience with SQL and NoSQL databases
• Proficiency in programming languages like Python, Terraform, Scala or Java for data processing
• Experience with ETL tools and frameworks (e.g. AWS Glue, Apache Spark)
• Familiarity with data modeling, schema design and data warehousing concepts
• Knowledge of CI/CD practices and version control systems
• Strong problem solving skills and attention to detail
• AWS Certification (e.g. AWS Certified Data Analytics, AWS Certified Solutions Architect)
• Experience with big data technologies like Hadoop, Spark or Kafka
• Knowledge of data governance and compliance frameworks
• Experience with IaC tools like Terraform
• Deep AWS Data knowledge
• DataZone & DataBricks
• Glue, Spark, ETL
• Python
• CI/CD pipelines
• Understanding of data warehouse/lakehouse design
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.