ZipRecruiter

Log In

1

Hadoop Python Jobs (NOW HIRING)

MM International

Hadoop Developer

Addison, TX · On-site

Python Required Qualifications * 8+ Years of IT experience with 5+ Years of relevant experience in developing solutions using Python and Hadoop technologies * Good programming knowledge with Hadoop ...

Diverse Lynx

Hadoop Developer

Manhattan, NY · On-site

Virtual Must Have Skills: • Hadoop • Python • Spark • Snowflake Nice to Have Skills: • Unix Detailed • The talent should have overall 8+ years of IT experience. • Should have hands on ...

Syntricate Technologies

Hadoop Developer

Plano, TX · On-site

Python * Tertiary Skill: UNIX/SHELL SCRIPTS Bachelor's degree in a technical or business-related field or equivalent working experience. 4+ years of experience in data warehousing architectural ...

Saviance

Lead Hadoop Developer

San Jose, CA · On-site

Lead Hadoop Developer Location: San Jose, CA JD- Hadoop data storage design (HDFS/Hbase) and Integration, scripting hive, unix, python (nice to have), pig, java. Excellent knowledge of Hadoop ...

Jobsbridge

Hadoop Developer

San Francisco, CA · On-site

Company Description Intelliswift Software, Inc 7+ years of hands-on programming experience with 4+ years in Hadoop platform Proficiency with Java and one of the scripting languages like Python ...

Jobsbridge

Hadoop/Bigdata Engineer

San Jose, CA · On-site

Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop Streaming, Sqoop, Oozie, Spark, Flume, Kafka, etc. Solid understanding of MapReduce and how the Hadoop Distributed File System ...

Jobsbridge

Hadoop/Bigdata Engineer

San Jose, CA · On-site

Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop Streaming, Sqoop, Oozie, Spark, Flume, Kafka, etc. Solid understanding of MapReduce and how the Hadoop Distributed File System ...

Nava Software Solutions

Hadoop Developer

Charlotte, NC · On-site

Hadoop Developer Location: Charlotte, NC - Hybrid Duration: 12 months Develops, enhances, debugs ... Knowledge of any one of the scripting languages, such as Python, Unix Shell Scripting or PERL etc ...

MMI

Hadoop Administrator

New York, NY · On-site

... and python scripting Thank you, Nanda Kishore /Phone: 646-300-7063 / Qualifications Hadoop and Cloudera Additional Information All your information will be kept confidential according to EEO ...

Jobsbridge

Hadoop Admin

Cupertino, CA · On-site

... Ruby or Python and Shell Scripting(TCL) 3. Should have knowledge of Linux Administration and Architecture 4. Hadoop Hortonworks upgrade experience Qualifications Hortonworks HDP 1.3 to HDP 2.2 ...

NAVA Software Solutions

Hadoop Developer

Charlotte, NC · On-site

Hadoop Developer Location: Charlotte, NC - Hybrid Duration: 12 months Develops, enhances, debugs ... Knowledge of any one of the scripting languages, such as Python, Unix Shell Scripting or PERL etc ...

Samprasoft

Hadoop Developer

Mclean, VA · On-site

Hadoop Developer Location: Mclean, VA (Onsite from Day 1 in Hybrid Model) Duration: 9 - 12+ Months ... Experience with Python programming, Pyspark and Hive * Experience with DBs - Oracle/DB2/Mongo/SQL ...

Euclid

Hadoop Engineer

Charlotte, NC · On-site

... Python experience 5+ years of Agile experience 5+ years of design and development experience with columnar databases using Parquet or ORC file formats on Hadoop 5+ years of Apache Spark design and ...

MMI

Hadoop Administrator

New York, NY

... and python scripting Thank you, Nanda Kishore |Phone: 646-300-7063 | Qualifications Hadoop and Cloudera Additional Information All your information will be kept confidential according to EEO ...

Jobsbridge

Hadoop Developer

San Francisco, CA · On-site

... or Python Experience deploying new Hadoop infrastructure, Hadoop cluster upgrades, and cluster maintenance Experience developing Hadoop integrations for data ingestion, data mapping and data ...

next page

Showing results 1-20

All JobsHadoop Python Jobs

Hadoop Python information

See salary details

$10

$59

$73

How much do hadoop python jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for hadoop python in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $65.38 per hour, depending on experience, location, and employer.

Is Hadoop a good career?

Hadoop Python roles involve working with big data processing using Hadoop frameworks and Python programming. These jobs are in demand in data-driven industries, often requiring knowledge of distributed systems, data analysis, and related tools like Spark or Hive. Careers in this field can offer growth opportunities with relevant certifications and experience in data engineering or analytics.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows developers to write MapReduce jobs in Python. Additionally, frameworks such as PySpark enable Python integration with Apache Spark, often used alongside Hadoop for big data processing. Knowledge of these tools is valuable for Hadoop Python roles.

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.

What is the highest paying job in Python?

The highest paying Python-related jobs include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or scikit-learn. These positions typically offer salaries exceeding $120,000 annually, especially with experience and relevant certifications.

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.

What is the salary of Hadoop engineer?

The salary of a Hadoop engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in big data tools and programming languages like Python can command higher salaries in this field.

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.
More about Hadoop Python jobs
What cities are hiring for Hadoop Python jobs? Cities with the most Hadoop Python job openings:
What states have the most Hadoop Python jobs? States with the most job openings for Hadoop Python jobs include:
What job categories do people searching Hadoop Python jobs look for? The top searched job categories for Hadoop Python jobs are:
Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in the United States as of June 2026, with employment types broken down into 7% Internship, 84% Full Time, 1% Part Time, 7% Contract, and 1% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.
Hadoop Developer

Hadoop Developer

MM International

Addison, TX • On-site

Contractor

Posted 3 days ago

Job description

Title: Hadoop Developer

Location: Addison, TX (3 days’ hybrid in-office)

Responsibilities:

  • Building data loading process
  • End to end development (understand those process)
  • Repositories: Spark & SQL Server experience – build processes.
  • 8+ Years of IT experience with 5+ Years of relevant experience in developing solutions using Hadoop technologies, Hive, Impala, Tez, UNIX, Python

Primary Skill

  • Hadoop

Secondary Skill

  • UNIX/SHELL SCRIPTS
  • Tertiary Skill
  • Python

Required Qualifications

  • 8+ Years of IT experience with 5+ Years of relevant experience in developing solutions using Python and Hadoop technologies
  • Good programming knowledge with Hadoop, HIVE, Unix, Python, Shell Scripting
  • Strong knowledge in SQL/PSQL for building and performance tuning complex queries with multiple joins
  • Strong analytical and problem solving skills
  • Excellent written/verbal communication skills
  • Agile methodologies
  • Excellent reporting, debugging and problem solving solutions
  • Ability to multitask, work well under pressure, prioritize and meet deadline

 

Desired Qualifications

  • Ability to dive into technical details and eliminate ambiguity and propose best practices/standards
  • Work with LOB/Dev team to prevent software defects by attending requirement reviews and architectural design reviews every release
  • Knowledge on relational databases, CI/CD, Horizon deployment tools, JIRA
  • Strong focus on continuous improvements
  • Highly motivated self-starter with ability to multitask and manage multiple priorities and meet aggressive deadlines