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Hadoop Python Jobs in Florida (NOW HIRING)

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

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 ...

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 ...

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 ...

JAVA SPARK engineer (GC-USC)

Tampa, FL · On-site

$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.

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

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 ...

... Python, SQL, and Databricks (Spark/Hadoop equivalents acceptable). • Hands-on experience with Copilot Studio, Power Apps/Automate, API development and integration. • Familiarity with CI/CD ...

... Python and PySpark across relational, warehouse, and cloud-native environments. * Design and manage distributed data processing solutions using Hadoop, Cloudera, distributed file systems, and NoSQL ...

Showing results 41-60

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 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:

Infographic showing various Hadoop Python job openings in Florida as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Big data with Java and J2EE Knowledge

InterSources Inc

Tampa, FL • On-site

$52.75 - $69.75/hr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
InterSources Inc is a certified Small Business Enterprise specializing in IT Consulting and Staffing Solutions. They are seeking a Big Data professional with expertise in Java and J2EE, responsible for developing and managing complex data transformation pipelines and leveraging big data technologies.
Responsibilities:
• Minimum 3 years' of experience in Big Data
• Strong Hadoop, Distributed Computing and Cluster Knowledge, Cloudera Distribution experience is a plus.
• Good knowledge in Java and Oops concepts, Scala and Python good to have.
• Spark, Hive, Oozie, Shell Scripting is must, Real time experience in Spark is must.
• Oracle or any RDBMS Database knowledge and data warehousing with complex data transformation pipeline design/development knowledge is required.
• BFS Experience with financial calculation knowledge is required.
• Need to have Strong problem solving and performance improvement skill.
• Must have 6+ years of total experience.
Qualifications:
Required:
• Minimum 3 years' of experience in Big Data
• Strong Hadoop, Distributed Computing and Cluster Knowledge
• Cloudera Distribution experience is a plus
• Good knowledge in Java and Oops concepts
• Spark, Hive, Oozie, Shell Scripting is must
• Real time experience in Spark is must
• Oracle or any RDBMS Database knowledge
• Data warehousing with complex data transformation pipeline design/development knowledge is required
• BFS Experience with financial calculation knowledge is required
• Need to have Strong problem solving and performance improvement skill
• Must have 6+ years of total experience
Preferred:
• Scala and Python good to have
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

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