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Hadoop Python Jobs in Chicago, IL (NOW HIRING)

Brilliant Infotech

Python Developer with Hadoop

Chicago, IL · On-site

$51.75 - $71.50/hr

Python Developer with Hadoop Background Chicago, IL, Denver, CO, Jacksonville, FL, Charlotte, NC (Onsite interview from these locations only) W2 Candidates only 5 Days Onsite Python + Sql + Hive ...

krg technology inc

Hadoop Tester

Schaumburg, IL

... Python) Experience in developing any test automation scripts in Hadoop environment Additional Information All your information will be kept confidential according to EEO guidelines.

Jobsbridge

BigData Hadoop Developer

Des Plaines, IL · On-site

Skill BigData Hadoop Developer Location Des Plaines, IL Total Experience 8 yrs. Max Salary Not ... python) Good analytical skills. Additional Information Multiple Openings for GC/Citizen

USM

Urgent Need Hadoop SME

Chicago, IL · On-site

... Python . . . any J2EE development background) 4. Cloudera or Hadoop 5. A Strong opinion regarding Avro & Parquet Additional Information If my requirement matches your resume, then please do reply on ...

SonSoft

Cloud Analytics in Big Data/Hadoop

Chicago, IL · On-site

Cloud Analytics in Big Data/Hadoop Sonsoft, Inc. is a USA based corporation duly organized under ... Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ...

MMI

Java Developer w/ Python or Perl

Chicago, IL · On-site

... and Hadoop storage and analysis. -Successful candidates have experience with dynamic languages such as Python or Perl as well as static languages like C, Java or Go. -Network and system ...

1872 Consulting

Python Developer

Chicago, IL · On-site

$51.75 - $71.50/hr

Back-End Python Developer You will be developing cutting edge back-end software solutions that will ... Big data experience using tools in the Hadoop ecosystem * DevOps experience * Front-end development ...

AceStack LLC

Python Developer with AWS

North Chicago, IL · On-site

$48.25 - $66.50/hr

Python Developer with AWS Location : North Chicago, IL (ONSITE) Contract We are seeking a skilled ... Experience with Big Data tools (Spark, Hadoop) * Exposure to Machine Learning / AI workflows

MMI

Java Developer w/ Python or Perl

Chicago, IL · On-site

... and Hadoop storage and analysis. -Successful candidates have experience with dynamic languages such as Python or Perl as well as static languages like C, Java or Go. -Network and system ...

3B Staffing LLC

Production Support Engineer

Chicago, IL · On-site

$43.25 - $56.50/hr

Knowledge of Hadoop support - this group owns the entire suite of Hadoop * Security experience * SQL, Linux, and Cloudera Experience * Know how to automate and crea te Python scripts

New

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

... Hadoop-based platforms such as Cloudera Hadoop, or Hortonworks Data Platform or Spark based ... Python, SQL NoSQL, and Spark. • Ability to manage multiple projects essential. • Ability to ...

GCS

Big Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Hands-on with AWS data services , Hadoop, and Spark * Advanced SQL plus Java and Python * Experience with CI/CD, Git, Linux * Databases: PostgreSQL, MySQL Nice to Have * TV, Media, Advertising, or ...

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How much do hadoop python jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for hadoop python in Chicago, IL is $61.70, according to ZipRecruiter salary data. Most workers in this role earn between $58.70 and $67.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Hadoop Python Developer, and why are they important?

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 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 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 popular job titles related to Hadoop Python jobs in Chicago, IL? For Hadoop Python jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Chicago, IL look for? The top searched job categories for Hadoop Python jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Hadoop Python jobs? Cities near Chicago, IL with the most Hadoop Python job openings:
Hadoop Python jobs near you
Python Developer with Hadoop

Python Developer with Hadoop

Brilliant Infotech

Chicago, IL • On-site

$51.75 - $71.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Python Developer with Hadoop Background
Chicago, IL, Denver, CO, Jacksonville, FL, Charlotte, NC (Onsite interview from these locations only)
W2 Candidates only
5 Days Onsite
Python + Sql + Hive + Pyspark + Hadoop (Exposure) - rest all Development and coding experience. No Data Engineer profiles
JD:
Key Skills & Technical Focus
• Strong SQL skills are the top priority.
o Focus is on advanced SQL and data analysis capabilities.
o Onsite SQL rounds are challenging.
o During phone screens, candidates are asked to walk through how they would solve problems.
• Strong Python experience is also critical.
o Python is used extensively across their frameworks.
o Kafka is part of the environment/tooling.
• Hadoop knowledge is important because their framework/environment is Hadoop-based.
o Candidates with only SQL/Python experience but no Hadoop or big data exposure may struggle to adapt.
o Candidates should understand how to work within and improve a Hadoop environment.
• Hive and PySpark experience are must-haves.
o Candidates should have hands-on experience in Hadoop ecosystem environments.
o PySpark experience alone on AWS is usually not enough if the candidate lacks broader big data/Hadoop exposure.

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