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Hadoop Python Jobs in Florida (NOW HIRING)

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Python Developer for a Right to ... Experience with Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.

Senior Python Developer

Tampa, FL · Hybrid

$111K - $149K/yr

Core Python & Data Engineering: * Expert-level programming skills in Python and PySpark ... Experience with Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.

Senior Python Developer

Tampa, FL · Hybrid

$111K - $149K/yr

... Hadoop). • Experience with NoSQL databases such as Cassandra, MongoDB, or similar. • ... Python frameworks for scalable, resilient, and performant applications. • Develop solutions ...

JAVA SPARK engineer (GC-USC)

Tampa, FL · On-site

$48.25 - $62.25/hr

... Python preferred)], Unix, BASH, SQL. • Knowledge in extending Hadoop framework components is preferred. • Experience in managing data (format/structure) and performance is preferred.

Data Engineer

Miami, FL · On-site

$47 - $67/hr

Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Spark, Hadoop) * Experience with cloud platforms (AWS, Azure, Google Cloud Platform ...

New

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 ...

Showing results 21-40

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.

$45.75 - $63/hr

Other

Re-posted 2 days ago


Key responsibilities

  • Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.

  • Collaborate with cross-functional teams to ensure seamless project delivery and develop solutions adhering to architectural standards.

  • Manage project technical aspects, including planning, governance, and ownership from conception to completion.


Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Python Developer for a Right to Hire assignment with one of our premier financial services clients in Tampa, FL.
Responsibilities :
  • Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
  • Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.
  • Design and implement agentic flows and build autonomous AI agents capable of reasoning, planning, and tool utilization.
  • Enforce industry-standard SDLC best practices and contribute to code quality through comprehensive code reviews.
  • Collaborate effectively with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) to ensure seamless project delivery.
  • Drive development for Stress Testing and Regulatory Risk projects, specifically within the Market Risk domain.
  • Manage project technical aspects, including planning, governance, and taking ownership of initiatives from conception to completion.
  • Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.
Required Skills:
  • Core Python & Data Engineering:
    • Expert-level programming skills in Python and PySpark, specifically for developing Spark applications.
    • Experience with PySpark for data processing.
    • Familiarity with data manipulation libraries (Pandas, NumPy).
    • Scripting for automation and data orchestration.
    • Complex query writing, including subqueries, window functions, and performance tuning.
    • Strong proficiency in Spark Core, Spark SQL, Spark Streaming.
    • Beneficial: Experience with Spark GraphX.
    • Experience with Spark performance optimization techniques (e.g., caching, partitioning, shuffle optimizations, memory management).
  • Big Data Ecosystem:
    • In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms.
    • Experience with HDFS commands and administration.
    • Solid understanding of YARN resource management and job scheduling.
    • Fundamental understanding of the MapReduce programming paradigm (even if primary development is in Spark/Flink).
    • Knowledge of Zookeeper for distributed coordination services.
      • Experience with Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
  • Database & Data Modeling:
    • Experience with HBase (for real-time access to large datasets within Hadoop).
    • Experience with NoSQL databases such as Cassandra, MongoDB, or similar.
    • Familiarity with RDBMS concepts and SQL for data integration.
    • Understanding of dimensional modeling, fact and dimension tables, and star/snowflake schemas.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy
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