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Hadoop Python Jobs in Chantilly, VA (NOW HIRING)

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 ...

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 ...

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 ...

Java, Scala, Python Developer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Experience with SQL, Hadoop, Python, Node XL, and a knowledge of telecommunications * Possess a related Bachelor's Degree or equivalent experience. * 8+ years of overall working experience in this ...

Experience with SQL, Hadoop, Python, Node XL, and a knowledge of telecommunications * Possess a related Bachelor's Degree or equivalent experience. * 8+ years of overall working experience in this ...

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 ...

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 ...

Showing results 21-40

Hadoop Python information

See Chantilly, VA salary details

$10

$61

$75

How much do hadoop python jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for hadoop python in Chantilly, VA is $61.32, according to ZipRecruiter salary data. Most workers in this role earn between $58.32 and $66.92 per hour, depending on experience, location, and employer.

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.

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 Chantilly, VA? For Hadoop Python jobs in Chantilly, VA, the most frequently searched job titles are:
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What cities near Chantilly, VA are hiring for Hadoop Python jobs? Cities near Chantilly, VA with the most Hadoop Python job openings:
Infographic showing various Hadoop Python job openings in Chantilly, VA as of June 2026, with employment types broken down into 3% Internship, 42% Full Time, 12% Part Time, 3% Temporary, and 40% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $127,540 per year, or $61.3 per hour.

Python Developer (Mid-Senior)

JTEC Consulting LLC

Chantilly, VA • On-site

$125K - $169K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
JTEC Consulting LLC is a Veteran-Owned Small Business focused on delivering solutions for Air Force and DOD clients. They are seeking Python Developers at the mid-senior level to support a data science and software engineering team in developing and deploying systems across multiple federal environments.
Responsibilities:
• Work as part of a blended team of government and contractor personnel including data scientists and technical team members supporting application and systems development projects for deployment across multiple environments
• Support development for end-to-end system features from user experience to backend code and deployment
• Provide expertise to the development team using Agile methodologies, modern languages, cloud technologies, and microservices
• Promote adoption of industry best practices to meet customer requirements
• Ensure solutions align with current and future architecture and operational environments
• Support hands-on development in Python and shell scripting for internal and external APIs
• Deploy code using Jenkins and GitHub
• Support unit testing, code reviews, and related activities
• Leverage Scrum methodology
• Support cloud infrastructure deployment for mission critical and classified workloads using AWS Commercial Cloud Services (C2S)
• Deploy applications using microservices and Kubernetes container orchestration
• Collaborate with networking team members and ISSM to ensure that data access and routing meet customer's stated requirements
• Support overall program deliverables, as assigned, including documentation and reports
• Support full on-site schedule
Qualifications:
Required:
• U.S. citizenship
• Current TS/SCI with polygraph required for consideration
• Bachelor’s degree in a related discipline (Computer Science, Information Systems, or technical discipline) + Equivalent years of related experience may be considered in lieu of a degree
• 10+ years of related experience with Python application development including: Python coding, FastAPI, SQLAlchemy, API development
• Experience working with AWS cloud and virtual infrastructure including: AWS C2S, Amazon Virtual Private Cloud/AWS IDL VPC
• Experience working with AWS tools including: Managed OpenSearch, EMR, EC2, Lambdas
• Experience deploying containerized microservices with Kubernetes
• Experience building and running containerized applications using Helm and Docker
• Experience with Jenkins, GitHub, and other CI/CD tools
• Experience with version control systems including Git
• Experience working with big data search tools such as OpenSearch, Elastic, Airflow, PySpark, and Trino
• Effective written and verbal communication skills to work in a dynamic team environment
• Availability to support a full on-site work schedule
Preferred:
• Experience with large-scale, massively parallel distributed data processing tools including Spark, Hadoop, Presto, NiFi
• Programming experience using Python, Java, Perl, C, C++
• Experience with ELK Stack (Elasticsearch, Logstash, Kibana)
• Experience maintaining and optimizing Elastic clusters
• Experience working and developing capabilities in Linux and Windows
• Experience with automating project builds using shell scripts, Jenkins, and using and writing Makefiles
• Experience with Linux bash shell scripting
• Experience with HTML, JavaScript, Regular Expressions, JSON
• Experience building a Python web server and performing setup in Flask
• Experience working with varied file types including text, image, video, audio, binary
• Knowledge of machine learning is a plus
• Experience using automated data frameworks
Company:
Founded by technologists in 2013, JTEC's core team has served in and supported the missions of the U.S. Founded in 2013, the company is headquartered in Atlanta, GA, US, , with a team of 11-50 employees. The company is currently Early Stage.