1

Hadoop Python Jobs in North Carolina (NOW HIRING)

Big Data Engineer

Charlotte, NC ยท On-site

$55/hr

Big Data, Hadoop, Python & Angular Job Summary We are seeking an experienced Big Data Engineer to join a high-performing team supporting enterprise-scale data initiatives for Wells Fargo through ...

Hadoop Developer Location: Charlotte, NC - Hybrid Duration: 12 months Develops, enhances, debugs ... Knowledge of any one of the scripting languages, such as Python, Unix Shell Scripting or PERL etc ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

next page

Showing results 1-20

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 North Carolina?

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

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

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

What cities in North Carolina are hiring for Hadoop Python jobs?

Cities in North Carolina with the most Hadoop Python job openings:

Infographic showing various Hadoop Python job openings in North Carolina as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 8% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Technology Lead - Python, Hadoop

G-Force Business Solutions

Chapel Hill, NC โ€ข On-site

$116K - $142K/yr

Full-time

Re-posted 27 days ago


Job description

Company Description
Job Description
Job Code : AH231585
Title : Technology Lead - Python, Hadoop
Location : Cary, NC
Duration : Permanent/Fulltime
Description:
  • At least 4 years of experience with excellent technology understanding of Python, Hadoop
  • At least 4 years experience writing Python scripts for interfacing with Hadoop with good PL/SQL skills
  • Excellent knowledge of Design methods and tools, Configuration and Release Management methods and tools, Knowledge of Testing methods and tools, Knowledge of Build
  • Expert in at least one SQL language such as T-SQL or PL/SQL
  • Experience in Life Insurance domain
  • Experience and desire to work in a Global delivery environment

Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.