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Hadoop Python Jobs in Columbia, MD (NOW HIRING)

Java, Scala, Python Developer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Big Data Developer

Rockville, MD ยท On-site

$54 - $70/hr

Onsite We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Hadoop, AWS, Python/Scala, and SQL to build and optimize large-scale data processing solutions. Required ...

Senior Big Data Architect

Rockville, MD ยท On-site

$68.50 - $91.75/hr

Java Hadoop/MapReduce Flume, Kafka MemSQL, NoSQL, RDBMS Pig, Python, Ruby Hive Tableau Integration, R ETL BS in Computer Science or related area Software development experience Minimum 3-4 Year ...

Senior Software Developer, Data Analytics

Mclean, VA ยท On-site

$55 - $72.75/hr

Java, Python, R, C#, C, SAS, analytic engines, Hadoop, parallelized analytic algorithms, and NoSQL and massively parallel processing databases. The successful candidate will have the ability to ...

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Hadoop Python information

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How much do hadoop python jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for hadoop python in Columbia, MD is $59.44, according to ZipRecruiter salary data. Most workers in this role earn between $56.54 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 job categories do people searching Hadoop Python jobs in Columbia, MD look for?

The top searched job categories for Hadoop Python jobs in Columbia, MD are:

Infographic showing various Hadoop Python job openings in Columbia, MD as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $123,628 per year, or $59.4 per hour.

Platform Engineer (Hybrid) - Python/Java/AWS/Linux

Captivation Software

Columbia, MD โ€ข Hybrid

Full-time

Re-posted 6 days ago


Job description

Description

Captivation Software is looking for a Cloud Platform Engineer with experience in Cloud technology (AWS), programming skills in languages like Python or Go, and a strong Linux foundation. Will significantly contribute to the development of custom software components and integration of open-source code to address complex problems through the use of cutting edge Big Data / Cloud technology. As a result, the candidate will be expected to work autonomously identifying and solving problems quickly while working toward broader strategic goals set by Architects on the team. Work is performed in a hybrid role with a great team of other strong engineers. ย 

Responsibilities
  • The ideal candidate is a strong systems integrator with an eye for opportunity to enhance, optimize, or increase robustness of an existing code base. ย 
  • The candidate should have experience with infrastructure as code and be able to leverage modern tools to define, build and manage virtual infrastructure in the cloud. ย 
  • Design and implement core architecture and capabilities for software from prototype to operational applications.
  • Other duties as assigned.
Requirements
Security Clearance:
  • A current U.S. Government Security clearance is not required at start, but will be processed for a Secret level clearance; U.S. citizenship required.ย 
Minimum Qualifications:
  • 5+ years of experience in Platform Engineering or Software Development (Python or Go) with Bachelors in related field; OR 3 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 9 years relevant experience.
  • Must have experience developing infrastructure in AWS.
  • Have a solid understanding of Linux systems, hosts, networks, security, applications and proficiency in shell scripting (Shell/Bash).
  • Excellent oral and written communication skills.
  • Must be able to obtain Security+ certification within 60 days of hire.
  • Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.
Preferred Qualifications:
  • Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc..) is a plus.
  • Experience with CI/CD pipelines (e.g. Gitlab-CI, Travis-CI, etc.)
  • Understanding of agile software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github, Gitlab, etc.)
  • Experience with puppet, ansible, maven, virtualization (ovirt, proxmox, vmware, etc)

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.