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Hadoop Python Jobs in California (NOW HIRING)

Pddn

Python SRE

Redwood City, CA

$61.50 - $84.75/hr

Python SRE Redwood City, CA Contract Responsibilities: * 3+ years of experience designing, building ... Hadoop and MySQL)

Sonsoft Inc

Cloud Analytics with Hadoop

Torrance, CA

At least 2 years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive ... Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ...

Sonsoft Inc

Cloud Analytics with Hadoop

Torrance, CA

At least 2 years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive ... Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ...

Lorven Technologies

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

... Python, Hadoop, HDFS, Spark, MapReduce framework Good Scala, Pyspark, Java coding experience for REST API and SOAP webservices Good AWS experience (Batch and API microservices) using EMR/EC2/ECS/S3 ...

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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 California? For Hadoop Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in California look for? The top searched job categories for Hadoop Python jobs in California are:
What cities in California are hiring for Hadoop Python jobs? Cities in California with the most Hadoop Python job openings:
Hadoop Python jobs near you
Python SRE

Python SRE

Pddn

Redwood City, CA

$61.50 - $84.75/hr

Contractor

Re-posted 5 days ago

Job description

Python SREÂ

Redwood City, CA

Contract

Job Description

Responsibilities:

  • 3+ years of experience designing, building and implementing server software
  • Strong coding ability in an object-oriented language (Python, Java, C++ etc.)
  • Deep experience with Python is a definite plus
  • Excellent team player with strong communication skills (verbal and written)
  • Enthusiastic about collaborative problem solving
  • Eagerness to solve challenging problems
  • Experience using relational database systems (MySQL preferred)
  • Familiarity with open source web frameworks (such as Pylons, Rails, or Django)
  • Experience designing for server scalability
  • Ability to examine and evaluate server architectures
  • Solid understanding of sources of performance bottlenecks in service-oriented architectures
  • Deep understanding of the uses and characteristics of common server infrastructure technologies (such as Zookeeper, Memcached, Redis, Hadoop and MySQL)