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Hadoop Python Jobs in Washington (NOW HIRING)

Senior Big Data Architect

Rockville, MD

$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 ...

... Python. • Skilled in AWS services such as EC2, SSM, CloudFormation, CloudWatch, and Lambda. • Experience with Spark and Amazon EMR/Hadoop, PySpark and AWS Glue is a plus. • Experience with ...

Strong programming skills in Java, Scala, or Python * Familiarity with big data processing tools and techniques * Experience with the Hadoop ecosystem * Good understanding of distributed systems

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

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

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

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 Washington? For Hadoop Python jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Hadoop Python jobs? Cities in Washington with the most Hadoop Python job openings:
Infographic showing various Hadoop Python job openings in Washington as of May 2026, with employment types broken down into 1% Internship, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 77% Physical, and 23% Remote job distribution.
Software Engineer III

Software Engineer III

Reflexive Concepts

Annapolis Junction, MD

$63.25 - $84.75/hr

Other

Posted 18 days ago


Job description

Reflexive Concepts is seeking a skilled Software Engineer to join our team!
Specifically, we are looking for a Software Engineer with experience in Hadoop, Accumulo, AWS, Terraform, Java, and Python.
Qualifications:
  • Sixteen (16) years experience as a SWE in programs and contracts of similar scope, type, and complexity
  • Bachelor's degree in Computer Science or related discipline from an accredited college or university
    • Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree
Required:
  • Hadoop
  • Accumulo
  • AWS
  • Terraform
  • Java
  • Python