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Python Data Developer Jobs in Florida (NOW HIRING)

Python Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

Programming: Expert proficiency in PySpark and Python for data manipulation and pipeline development. * Platform: Deep expertise with the Databricks platform. * Architecture: Proven experience ...

Python Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

We are seeking a highly experienced and motivated Senior Data Engineer to join our team. The ideal ... Design, develop, and maintain robust and scalable data pipelines using PySpark and Python.

Python Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

We are seeking a highly experienced and motivated Senior Data Engineer to join our team. The ideal ... Design, develop, and maintain robust and scalable data pipelines using PySpark and Python.

Data QE

Tampa, FL · On-site

$108.20K - $129.90K/yr

Technical skills - 1 . ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile methodologies * Design and Develop Automated Data Quality Tests: * Create and maintain automated test ...

Familiarity with programming languages such as Python, Java, or .NET > * Experience with cloud data platforms (e.g., Azure SQL, AWS RDS) > * Knowledge of database security, backup, and recovery ...

Python & SQL Developer

Tampa, FL · On-site

$45.75 - $63/hr

Python & SQL Developer Location: Newark, NJ or Tampa, FL (No Remote - 3 days in office) Duration: 6 ... The developer works closely with data engineers, analysts, and application teams to deliver ...

Data Engineer

Juno Beach, FL · On-site

$111.90K - $134.40K/yr

Clean, preprocess, and transform structured and unstructured data using Python * Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data ...

Sr. Big DATA Developer

Tampa, FL

$48.25 - $62.50/hr

Strong proficiency in programming languages such as Python with extensive pySpark experience Java or Scala * Expertise in Apache Spark for data processing including Spark SQL DataFrames and RDDs

Python Developer

Tampa, FL

$45.75 - $63/hr

Job Title: Sr. Python Developer Work Location Tampa FL * Experience 5-8 years of relevant hands-on ... Work on data processing transformation and analysis for medium to large datasets where applicable

Data Engineer

Miami, FL

$109.50K - $131.50K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Job Title: Python AI/ML Engineer - AI & Automation Location: Tampa, FL (Local candidates only ... Perform data preprocessing, cleaning, and feature engineering for high-quality input data. * Train ...

Python Developer

West Palm Beach, FL · Hybrid

$48.50 - $67/hr

Requirements: 2+ years experience with experience in Python programming Experience developing pipelines and libraries to retrieve data and perform computation Creating front-end applications to ...

Python Developer

West Palm Beach, FL · On-site

$48.50 - $67/hr

Requirements: • 2+ years experience with experience in Python programming • Experience developing pipelines and libraries to retrieve data and perform computation • Creating front-end ...

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Python Data Developer information

What are the key skills and qualifications needed to thrive as a Python Data Developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

Python Data Engineer

Python Data Engineer

Virtusa

Tampa, FL • On-site

$108.20K - $129.90K/yr

Other

Posted 24 days ago


Job description

We are seeking a highly experienced and motivated Senior Data Engineer to join our team. The ideal candidate will have extensive experience in designing, building, and optimizing highly scalable and robust ETL/ELT pipelines. This role will be critical in shaping our data architecture, implementing Lakehouse solutions, and working with cutting-edge technologies like LLMs and Vector Search.

Key Responsibilities:

  • Design, develop, and maintain robust and scalable data pipelines using PySpark and Python.

  • Implement and manage data solutions within the Databricks platform.

  • Define and enforce data modeling standards, specifically utilizing the Medallion architecture (Bronze, Silver, Gold layers).

  • Architect and implement Lakehouse capabilities, including AI/Machine Learning features and Vector Search for advanced data retrieval.

  • Evaluate, integrate, and work with Large Language Model (LLM) frameworks.

  • Collaborate with data scientists and business stakeholders to understand data requirements and translate them into technical solutions.

  • Ensure data quality, reliability, and security throughout the data lifecycle.

  • Mentor junior engineers and contribute to best practices in data engineering.

Required Skills and Qualifications:

  • Experience: 10+ years of professional experience in data engineering or a related field.

  • Programming: Expert proficiency in PySpark and Python for data manipulation and pipeline development.

  • Platform: Deep expertise with the Databricks platform.

  • Architecture: Proven experience designing and implementing data models, particularly the Medallion architecture.

  • Modern Data Stack: Experience with Lakehouse concepts, architecture, and implementation.

  • AI/ML Integration: Hands-on experience with AI/Vector Search technologies and working with LLM frameworks.

Preferred Skills (Nice to Have):

  • Experience with AI Agent frameworks (e.g., Devin, LangChain, or similar).

  • Solid understanding and experience with Prompt Engineering.

  • Knowledge of and experience implementing LLMOps best practices.

  • Familiarity with legacy ETL tools such as Ab Initio.


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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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