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Hadoop Python Jobs in Washington (NOW HIRING)

Samprasoft

Hadoop Developer

Mclean, VA · On-site

Hadoop Developer Location: Mclean, VA (Onsite from Day 1 in Hybrid Model) Duration: 9 - 12+ Months ... Experience with Python programming, Pyspark and Hive * Experience with DBs - Oracle/DB2/Mongo/SQL ...

Polar IT Services

AWS Python Developer

Reston, VA · On-site

$52.25 - $72/hr

AWS Python Developer with AI experience Location: Reston, VA Mode of Work: 3 Days hybrid Top Skills ... Knowledge of big data technologies ( Spark, Hadoop, Databricks). Background in NLP, computer vision ...

Polar IT Services

AWS Python Developer

Reston, VA · Hybrid

$52.25 - $72/hr

AWS Python Developer with AI experience Location: Reston, VA Mode of Work: 3 Days hybrid Top Skills ... Knowledge of big data technologies ( Spark, Hadoop, Databricks). Background in NLP, computer vision ...

Polar IT Services

AWS Python Developer

Reston, VA · Hybrid

$52.25 - $72/hr

AWS Python Developer with AI experience Location: Reston, VA Mode of Work: 3 Days hybrid Top Skills ... Knowledge of big data technologies ( Spark, Hadoop, Databricks). Background in NLP, computer vision ...

JTEC Consulting

Python Developer (Mid-Senior)

Chantilly, VA · On-site

$150K - $175K/yr

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 ...

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 ...

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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.
Hadoop Developer

Hadoop Developer

Samprasoft

Mclean, VA • On-site

Other

Posted 3 days ago

Job description

Hadoop Developer

Location: Mclean, VA (Onsite from Day 1 in Hybrid Model)

Duration: 9 – 12+ Months (With further ext. possibility)

Notes:

  • Big Data Hadoop developer role
  • Experience with Data Warehouses
  • Experience with Hadoop (version 314/315 would be preferred)
  • Hands-on experience with building data pipelines using Pyspark
  • Experience with Python programming, Pyspark and Hive
  • Experience with DBs - Oracle/DB2/Mongo/SQL Server/NoSQL
  • Experience with XML and JSON
  • Experience with AWS Cloud would be a plus- EC2/S3/Lambda etc.

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