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Hadoop Python Jobs in Reston, VA (NOW HIRING)

Sr. Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

... Python or SQL such as PySpark, pandas, or dbt 5+ years of experience in application/data ... Hadoop, MapReduce, Hive, HBase, Kafka, Spark) Experience with Scrum and Kanban methodologies ...

Hadoop/HBASE testing experience a must have (esp. HDFS Shell commands). Hive shell or beeline ... Shell, Perl or Python. Familiarity with UNIX commands. Ability to design & execute test cases.

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

... Hadoop, Spark,HBase, Cassandra, other NO SQL solutions) Experience in building data pipelines and analysis tools using Java (not limited to J2EE), Scala, Python An understanding of databases and ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Proficiency in programming languages such as Python, Scala, or Java * Experience with data ... Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Proficiency in programming languages such as Python, Scala, or Java * Experience with data ... Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ...

AI ENGINEER

Reston, VA ยท On-site

Strong skills in programming languages such as Python, R, or Java, essential for developing AI ... Knowledge of big data technologies (Spark, Hadoop, Databricks). * Background in NLP, computer ...

Data Engineer

Chantilly, VA ยท On-site

$118K - $142K/yr

Proficiency in programming languages such as Python, Scala, or Java * Experience with data ... Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ...

Ability to code in multiple languages, including Python * Knowledge of databases, data structures ... Experience with Apache Hadoop and the Hadoop Distributed File System * Experience with Amazon ...

Ability to code in multiple languages, including Python * Knowledge of databases, data structures ... Experience with Apache Hadoop and the Hadoop Distributed File System * Experience with Amazon ...

Big Data Engineer

Alexandria, VA

$59.75 - $79/hr

Java, MapReduce, Python, Pig Programming, Hadoop Streaming, HiveQL Additional Information If you are interested please share your resume to mohammedm@usmsystems(dot)com or can directly call me on 703 ...

Cloud Software Engineer

Washington, DC

$67.50 - $87.75/hr

Currently analytics are developed in Java using MapReduce, python and Pig. Labor Requirements ... Understanding of Cloud Scalability Hadoop/Cloud Certification Experience designing and developing ...

Ability to code in multiple languages, including Python * Knowledge of databases, data structures ... Experience with Apache Hadoop and the Hadoop Distributed File System * Experience with Amazon ...

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Hadoop Python information

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How much do hadoop python jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for hadoop python in Reston, VA is $62.31, according to ZipRecruiter salary data. Most workers in this role earn between $59.28 and $68.03 per hour, depending on experience, location, and employer.

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 Reston, VA? For Hadoop Python jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Reston, VA look for? The top searched job categories for Hadoop Python jobs in Reston, VA are:
What cities near Reston, VA are hiring for Hadoop Python jobs? Cities near Reston, VA with the most Hadoop Python job openings:
Sr. Data Engineer

Sr. Data Engineer

Centurion Consulting Group

Washington, DC โ€ข On-site

$129K - $155K/yr

Other

Posted 6 days ago


Job description

Job Description Proficiency in developing, maintaining, monitoring, and the long-term operations of data pipelines or processing systems running in Cloudera Data Platform. Understanding of data extraction, transformation, loading, and performance tuning of solutions utilizing multiple streams of input data-code-based, git and DevOps-enabled technologies using Python or SQL such as PySpark, pandas, or dbt 5+ years of experience in application/data development (i.e., Python) 5+ years of experience with data integration/ingestion tools (i.e., Apache NiFi) Advanced level knowledge of SQL, Java, Microsoft SQL Server, distributed data/computing platforms (i.e., Apache NiFi, Hadoop, MapReduce, Hive, HBase, Kafka, Spark) Experience with Scrum and Kanban methodologies Experience with UNIX/Linux including basic commands and shell scripting Experience in implementing and maintaining continuous integration continuous delivery (CI/CD) pipelines and data platform management This position is onsite in Washington, DC. This is open to US Citizens only.