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Hadoop Python Jobs in Maryland (NOW HIRING)

USM

Hadoop Developer /SME

Baltimore, MD

Position: Hadoop Developer /SME Location: Baltimore _ MD Duration: 12+ Months Contract Hadoop ... Hands-on extensive programming experience with Java/Scala/C++/Python as well as shell scripts and ...

Cymertek

Java, Scala, Python Developer

Annapolis Junction, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Java, Scala, Python Developer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

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 ...

Jobsbridge

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 ...

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Hadoop Python information

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 are popular job titles related to Hadoop Python jobs in Maryland?

For Hadoop Python jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Hadoop Python jobs in Maryland look for?

The top searched job categories for Hadoop Python jobs in Maryland are:

What cities in Maryland are hiring for Hadoop Python jobs?

Cities in Maryland with the most Hadoop Python job openings:

Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Cloud System Administrators

Red Drum

Annapolis Junction, MD • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Red Drum is dedicated to solving complex data challenges and developing cutting-edge data solutions. They are seeking Cloud System Administrators to manage and optimize cloud infrastructure, requiring a blend of technical skills and a strong educational background.
Qualifications:
Required:
• B.S. in Engineering, Systems Engineering, Computer Science or Mathematics is required.
• A cloud certification is typically required.
• Experience levels range from 0 – 20 + years of experience.
• A Current TS clearance plus Polygraph is required for all openings.
• Tech stack for cloud system administrators include: Linux, AWS, Kubernetes, HDFS, Hadoop, Python, Bash, JIRA, Openstack, ElasticSearch, logstash, Grafana, layer 2/layer 3 switch interactions, and more.
Company:
Red Drum provides software development, cloud architecture, DevOps, systems integration, and security consulting. Founded in , the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

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