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Hadoop Python Jobs (NOW HIRING)

Jobsbridge

Hadoop Developer

San Francisco, CA

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

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 ...

TWO95 International

Hadoop developer

Wilmington, DE · Remote

... Python and ETL experiencePrevious experience working with Hadoop deployments/migrationsPrior experience working in an enterprise environment with a large number of usersPrevious experience with data ...

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 ...

Jobsbridge

Hadoop/Bigdata Engineer

San Jose, CA

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 Developer

Redlands, CA · On-site

MS/BS degree in a computer science field or related discipline Good experience in large-scale software development Experience in Hadoop Strong Java programming, shell scripting, Python, and SQL ...

Jobsbridge

Hadoop Admin

Cupertino, CA

... 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 ...

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 Developer

San Francisco, CA

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

Centraprise

Hadoop Developer

Jersey City, NJ · On-site

Hadoop ecosystem (HDFS, Hive, Spark),PySpark,Python,Apache Kafka Secondary: UI - Angular. Experience: Minimum 9 years Roles & Responsibilities Architectural Leadership: • Define end-to-end ...

Sarian Solutions

Hadoop Developer

Plano, TX

... Python, Kerberos/Active Directory/LDAP, etc. * Minimum 3+ years of related database development experience, including Data Architect experience working with 'Big Data' technologies such as Hadoop, ET ...

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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 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.

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.

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 May 2026, with employment types broken down into 28% Full Time, 32% Part Time, 2% Temporary, and 38% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.
Senior Cloud Data Platform Engineer

Senior Cloud Data Platform Engineer

Global Channel Management

Charlotte, NC • Hybrid

$103K - $140K/yr

Other

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

Job description

Senior Cloud Data Platform Engineer

New York, New York, United States

$ 87.00 - 88.00 (US Dollar)

Senior Cloud Data Platform Engineer needs 5+ years of implementing data applications or data platforms with BigData/Hadoop, Python/Java/Spark full stack, etc.

Senior Cloud Data Platform Engineer requires:

  • Locations: Charlotte, NC; Iselin, NJ; NY, NY
  • Hybrid role must be in office 2 days a week
  • Ability to type a minimum of 50 wpm accurately.
  • Masters or Bachelor's degree in computer science or related discipline
  • Manage and ensure delivery of project tasks as required
  • Excellent documentation skills to create and manage design, implementation and automation related documentation
  • Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR.
  • Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
  • Experience on implementing solutions with Worflow orchestration/scheduling tools such as Airflow, Autosys etc.
  • Experience building CI/CD pipelines for infrastructure implementations with Teraform, Gitlab etc.
  • Must be ability to multi-task and prioritize tasks for self
  • Must experience working in agile environment with multiple priorities

Preferred Skills:

  • 5+ years of implementing data applications or data platforms with BigData/Hadoop, Python/Java/Spark full stack, etc.
  • 5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos.
  • 5+ year experience with ETL/ELT tools such as AWS Glue ETL, Talend, Datastage etc.
  • 5+ year experience with Orchestration tools such as Airflow, Autosys etc.
  • Experience with Jira and Agile methodology is a plus;
  • Experience with understanding DevOps or CI/CD process w.r.t to infrastructure management activities

Senior Cloud Data Platform Engineer duties:

  • Design, develop and deliver cloud datastore solutions and develop automation pipelines to migrate data sets from On-prem to Cloud platforms. Practice Infrastructure as code to develop automation routines and integration flows to manage state of the datastore platform systems
  • Provision secures from start datastores and enable them with required security controls including encryption, masking, certificate/keys rotation etc.
  • Collaborates with developers, analysts, various system administrators to identify business requirements in designing efficient datastore solutions and interfaces.
  • Identifies and documents all system constraints, implications, and consequences of various proposed system changes.
  • Reviews technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system. Evaluates the efficiency and effectiveness of application operations and troubleshooting problems.

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About Global Channel Management

Sourced by ZipRecruiter

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Global Channel Management understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at the same time requiring the best talent for the job. GCM's Ownership and Management teams have extensive Staffing, Recruiting, HR and Executive Leadership knowledge, Experience and Expertise. Our Understanding and Commitment to our Client's Satisfaction are key reasons GCM has been successful in establishing long term relationships.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Austell, GA, US

Year founded

2009

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