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Hadoop Python Jobs in Washington (NOW HIRING)

1872 Consulting

Software Developer(Python)

Herndon, VA · On-site

Our current technology stack is based primarily on Python (Java a bonus), ElasticSearch, MongoDB ... or Hadoop * A driven communicator. On the Platform team, we communicate in video conferences ...

Techno Talent Inc.

Big Data Developer

Rockville, MD · 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 ...

Samprasoft

Senior Cloudera Admin

Washington, DC · On-site

Implement and maintaining the big data pipelines and automated data flows using Python, Java, other ... Must have Cloudera Hadoop cluster deployment experience, including but not limited to deploying a ...

Jobsbridge

Senior Big Data Architect

Rockville, MD · 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 ...

Saxon Global

Senior Data Analytics Developer

Washington, DC · On-site

$61.75 - $81.50/hr

Hadoop * Spark * Python * SQL & Stored Procedures * AB Initio * Object-Oriented Programming * Version Control Tools (Git or similar) * Unit Testing & Debugging * SDLC Methodologies * Technical ...

New

Kanak Elite Services Inc

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Spark (advance/expert), Hadoop platform & tools (Hive, Impala, Nifi, Oozie, Scoop) * Databricks * Python, SQL Ideal Candidate Qualifications: * 5+ years of full stack engineering experience in an ...

Beyond SOF

Software Engineer

Fulton, MD

... and Python. * Prior experience with any of the following is a plus: * Cryptography * Security architecture * Database design * Performance optimization * Distributed processing (Spark, Hadoop ...

InterImage

Senior Java Developer

Laurel, MD

$56.75 - $72.50/hr

Develop analytics using Java MapReduce and Python in the Linux (Red Hat version 7+) environment ... the Hadoop Distributed File System (HDFS), and technologies such as Hadoop Hive, Pig, Etc.

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Hadoop Python information

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.
What are popular job titles related to Hadoop Python jobs in Washington? For Hadoop Python jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Washington look for? The top searched job categories for Hadoop Python jobs in Washington are:
What cities in Washington are hiring for Hadoop Python jobs? Cities in Washington with the most Hadoop Python job openings:
Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Washington as of June 2026, with employment types broken down into 6% Internship, 82% Full Time, 4% Part Time, 7% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

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

Captivation Software

Columbia, MD • On-site, Remote

$130K - $270K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Build to something to be proud of.
Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.
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.
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.
  • 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.
  • 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.
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.
Benefits
  • Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
  • Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
  • Above Market Hourly Rates
  • $3,600 HSA Contribution
  • 6 Weeks Paid Time Off
  • Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

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