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Hadoop Python Jobs in Washington (NOW HIRING)

Mavens Guild

Senior Spark & Python Developer

Mclean, VA

$122K - $165K/yr

Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you ... Experience working in a distributed computing infrastructure like Hadoop and/or Spark * Critical ...

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you ... Experience working in a distributed computing infrastructure like Hadoop and/or Spark * Critical ...

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you ... Experience working in a distributed computing infrastructure like Hadoop and/or Spark * Critical ...

CGI Inc.

Senior Python Developer with Spark

Reston, VA · On-site

$126K - $170K/yr

Solid experience with big data ecosystems such as Hadoop, Hive, and EMR . Advanced proficiency in ... Python * SQL * Terraform * GitLab What you can expect from us: Together, as owners, let's turn ...

Cymertek

Java, Scala, Python Developer

Chantilly, VA · On-site

Java, Scala, Python Developer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

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Hadoop Python information

Is Hadoop admin a good career?

Hadoop administration is a viable career path for those interested in managing big data infrastructure, requiring skills in Hadoop ecosystem tools, Linux, and scripting. It offers opportunities in data management, analytics, and cloud environments, with demand driven by data-driven business needs. Certifications like Cloudera or Hortonworks can enhance job prospects.

Are Python still in demand in 2026?

Python remains highly in demand for roles like Hadoop Python developers, as it is widely used for data processing, scripting, and automation in big data environments. Its versatility and strong community support ensure continued relevance, especially when combined with skills in Hadoop, Spark, and cloud platforms.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows Python scripts to process data within Hadoop jobs. Additionally, frameworks such as PySpark enable Python developers to work with Apache Spark on Hadoop clusters for big data processing. Knowledge of these tools is beneficial 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.

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 July 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Java, Scala, Python Developer

Java, Scala, Python Developer

Cymertek Corporation

Annapolis Junction, MD • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
Cymertek Corporation is a growing small business and trusted federal contractor offering full scope consulting services in information technology. They are seeking a versatile and highly skilled Java, Scala, Python Developer to design, build, and maintain applications that solve complex problems and meet business objectives.
Responsibilities:
• Develop and maintain software using Java, Scala, and Python
• Design and implement scalable solutions for data processing
• Build APIs and backend services to support applications
• Optimize code for performance and reliability
• Collaborate with teams to define project goals and deliverables
• Troubleshoot and resolve software issues
Qualifications:
Required:
• Proficiency in Java programming
• Expertise in Scala development
• Strong Python scripting skills
• Familiarity with object-oriented and functional programming paradigms
• Knowledge of version control tools (e.g., Git)
• Experience with backend frameworks and libraries
• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, Data Science, Information Systems, Applied Mathematics, Artificial Intelligence, Systems Engineering, Computational Science, etc.
• TS/SCI Full Poly clearance
• Full U.S. Citizenship
Preferred:
• Experience with distributed systems
• Familiarity with big data frameworks (e.g., Spark, Hadoop)
• Understanding of microservices architecture
• Knowledge of containerization tools (e.g., Docker)
• Proficiency in cloud platforms (e.g., AWS, Azure)
• Experience with CI/CD pipelines
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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