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Hadoop Python Jobs in Florida (NOW HIRING)

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

... skills in Python, R, or similar languages * Experiencewith ML frameworks such as TensorFlow, PyTorch, or Scikit-learn * Familiaritywith data processing tools like SQL, Spark, or Hadoop

Photon

Sr PySpark developer - Tampa

Orlando, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hands-on experience with big data frameworks (Hadoop, Kafka, etc.). * Expertise in cloud platforms (AWS, Azure, or GCP). * Proficiency in Python programming and data manipulation. * Knowledge of ETL ...

Photon

Sr PySpark developer - Tampa

Orlando, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hands-on experience with big data frameworks (Hadoop, Kafka, etc.). * Expertise in cloud platforms (AWS, Azure, or GCP). * Proficiency in Python programming and data manipulation. * Knowledge of ETL ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.

MANTECH

Data Scientist

Tampa, FL

Using frameworks such as Spark and Hadoop for large-scale data processing * Creating data ... Researching, designing, and implementing algorithms to solve complex problems using R, Python ...

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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 Florida?

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

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

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

What cities in Florida are hiring for Hadoop Python jobs?

Cities in Florida with the most Hadoop Python job openings:

Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Florida as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

AI / ML Engineer

Rempli

Miami, FL • On-site

$95K - $150K/yr

Full-time

Re-posted 19 days ago

Job description


AI / ML Engineer
We partner withcompanies pushing the boundaries of technology - and we'relooking for AI / ML Engineers who are passionate about buildingintelligent systems that solve real-world problems.
If you loveworking with data, designing machine learning models, andturning complex algorithms into scalable solutions - we want tohear from you.
Responsibilities
  • Design, develop, and deploy machine learning models and AI solutions
  • Work withlarge datasets to build, train, and optimize algorithms
  • Collaboratewith data scientists, engineers, and product teams tointegrate AI into products
  • Monitor andimprove model performance, accuracy, and scalability
  • Stayup-to-date with the latest AI/ML research, tools, and frameworks
  • Documentsolutions and provide technical guidance to stakeholders

Qualifications
  • 2-5+ yearsexperience in AI, machine learning, or data science roles
  • Strongprogramming skills in Python, R, or similar languages
  • Experiencewith ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Familiaritywith data processing tools like SQL, Spark, or Hadoop
  • Understandingof model deployment techniques and cloud platforms (AWS,GCP, Azure)
  • Ability totranslate complex problems into practical AI solutions
  • Bonus:Advanced degree in Computer Science, Data Science, orrelated fields

Apply