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Hadoop Python Jobs in Florida (NOW HIRING)

Virtusa Corporation

Snowflake Lead

Tampa, FL · On-site

$96K - $127K/yr

Experience in building data solution in Hadoop platform, using Spark, Python and various ETL frameworks for distributed data storage and processing. Familiarity with data warehousing and data mart ...

New

Ruri Software Technologies LLC

AWS Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Hana, Hadoop, Redis, Kafka, InfluxDB, Postgres, or Cassandra * Demonstrated programming skills in one or more of: Python, Perl, Ruby, Java, C, specifically for infrastructure automation * Experience ...

ReturnPro

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... in Python, SQL, and scripting languages (Bash, PowerShell). • Deep understanding of big data tools (Hadoop, Spark) and ETL processes. • Hands-on experience with cloud platforms (AWS S3, Azure ...

Photon

Sr Java Big Data Developer- Tampa FL

Orlando, FL · On-site

$53.50 - $68.25/hr

Bigdata ecosystem (Good understanding of Hadoop, preferable cloud era distribution), exposure to ... Unix/Python shell scripting experience is a big plus * Experience managing global technology teams

Photon

Sr Java Big Data Developer- Tampa FL

Orlando, FL · On-site

$53.50 - $68.25/hr

Bigdata ecosystem (Good understanding of Hadoop, preferable cloud era distribution), exposure to ... Unix/Python shell scripting experience is a big plus * Experience managing global technology teams

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... in Python, SQL, and scripting languages (Bash, PowerShell). • Deep understanding of big data tools (Hadoop, Spark) and ETL processes. • Hands-on experience with cloud platforms (AWS S3, Azure ...

Kanak Elite Services Inc

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python * 1+ years of proven experience building data pipelines and ETL ...

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... Python, SQL, and scripting languages (Bash, PowerShell). · Deep understanding of big data tools (Hadoop, Spark) and ETL processes. · Hands-on experience with cloud platforms (AWS S3, Azure Data ...

Sonsoft Inc

JAVA SPARK engineer (GC-USC)

Tampa, FL

$48.25 - $62.25/hr

Their work will mandate a skilled to expert grade knowledge in Java, Spark [Java & Scala (+ Python preferred)], Unix, BASH, SQL,. Knowledge in extending Hadoop framework components is preferred.

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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.

Hadoop_Analytics Developer

TPI Global Solutions

Jacksonville, FL • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
TPI Global Solutions is a company seeking a Hadoop developer responsible for the design, development, and operations of systems that manage large amounts of data. The role involves writing code, reviewing other developers' work, and ensuring the confidentiality and integrity of applications and data.
Responsibilities:
• Write code for moderately complex system designs. Write programs that span platforms.
• Write code for enhancing existing programs or developing new programs.
• Review code developed by other IT Developers.
• Provide input to and drive programming standards.
• Write detailed technical specifications for subsystems. Identify integration points.
• Report missing elements found in system and functional requirements and explain impacts on subsystem to team members.
• Consult with other IT Developers, Business Analysts, Systems Analysts, Project Managers and vendors.
• “Scope” time, resources, etc., required to complete programming projects. Seek review from other IT Developers, Business Analysts, Systems Analysts or Project Managers on estimates.
• Perform unit testing and debugging. Set test conditions based upon code specifications. May need assistance from other IT Developers and team members to debug more complex errors.
• Supports transition of application throughout the Product Development life cycle. Document what has to be migrated. May require more coordination points for subsystems.
• Researches vendor products / alternatives. Conducts vendor product gap analysis / comparison.
• Accountable for including IT Controls and following standard corporate practices to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application.
• The essential functions listed represent the major duties of this role, additional duties may be assigned.
Qualifications:
Required:
• Experience and understanding with unit testing, release procedures, coding design and documentation protocol as well as change management procedures
• Proficiency using versioning tools
• Thorough knowledge of Information Technology fields and computer systems
• Demonstrated organizational, analytical and interpersonal skills
• Flexible team player
• Ability to manage tasks independently and take ownership of responsibilities
• Ability to learn from mistakes and apply constructive feedback to improve performance
• Must demonstrate initiative and effective independent decision-making skills
• Ability to communicate technical information clearly and articulately
• Ability to adapt to a rapidly changing environment
• In-depth understanding of the systems development life cycle
• Proficiency programming in more than one object-oriented programming language
• Proficiency using standard desktop applications such as MS Suite and flowcharting tools such as Visio
• Proficiency using debugging tools
• High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy
• HADOOP
• Spark
• Python
• SQL/Stored Procedures
• 3+ years related work experience, Professional experience with technical design and coding in the IT industry
• HS Diploma or GED
Company:
TPI Global started in 1998, providing technical professionals to businesses scrambling to fix the Y2K bug. Founded in 1998, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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