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Python Data Jobs (NOW HIRING)

Python Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

Senior Data Engineer role with10+ years of experience building scalable ETL pipelines using PySpark, Python, and Databricks. The ideal candidate will design data models (Medallion architecture ...

Python Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

Senior Data Engineer role with10+ years of experience building scalable ETL pipelines using PySpark, Python, and Databricks. The ideal candidate will design data models (Medallion architecture ...

Python Data Analyst

Denver, CO · On-site

$65K - $75K/yr

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business. The Trading department ...

Python Data Engineer

Tampa, FL

$108.20K - $129.90K/yr

Senior Data Engineer role with10 years of experience building scalable ETL pipelines using PySpark, Python, and Databricks. The ideal candidate will design data models (Medallion architecture ...

Python Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

... data processing and cloud technologies Required Skill * Good understanding of Java or Scala and Python programming * Basic knowledge of Apache Spark Spark SQL DataFrames preferred * Exposure to GCP ...

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Python Data information

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How much do python data jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python data in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

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

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

More about Python Data jobs
What cities are hiring for Python Data jobs? Cities with the most Python Data job openings:
What states have the most Python Data jobs? States with the most job openings for Python Data jobs include:
Infographic showing various Python Data job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, 49% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Python Data Engineer

Python Data Engineer

Virtusa

Tampa, FL • On-site

$108.20K - $129.90K/yr

Other

Posted 29 days ago


Job description

Senior Data Engineer role with10+ years of experience building scalable ETL pipelines using PySpark, Python, and Databricks. The ideal candidate will design data models (Medallion architecture), implement Lakehouse AI/Vector Search, and work with LLM frameworks. Preferred Experience with AI Agent frameworks like Devin, prompt engineering, and LLMOps. Abinitio


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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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