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Pandas Jobs (NOW HIRING)

Programmers.io

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Pandas, PyParsing, Airflow. o Pandas, Tableau server modules, NumPy, Datetime, Apache Airflow related modules, APIs o Setting up Python scripts on DataLab, scheduling processes, connecting with ...

PTR Global

Python Developer IV

Chicago, IL · On-site

$65 - $75/hr

Job Title: Sr. Python Developer (AWS/Pandas) Location: Chicago, IL 60606 (Hybrid) Durations: 6-12 Months with possible extensions or conversion. Job Overview: We are seeking a highly skilled Senior ...

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VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Pandas; Scikit-learn; TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using ...

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How much do pandas jobs pay per year?

As of Jul 14, 2026, the average yearly pay for pandas in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are Pandas in the context of data analysis?

Pandas is an open-source Python library that provides data structures and functions specifically designed for working with structured data, such as tables and time series. It is widely used for data cleaning, manipulation, exploration, and analysis due to its powerful and flexible DataFrame and Series objects. With Pandas, users can easily handle large datasets, perform complex data operations, and integrate with other data science tools in Python.

What are some common challenges data analysts face when using Pandas in a professional setting?

Data analysts often encounter challenges with handling large datasets in Pandas, as performance can decrease with increasing data size. Ensuring data integrity during complex transformations and merges also requires careful attention to avoid introducing errors. Additionally, keeping up with best practices and new features in Pandas is essential for writing efficient, maintainable code. Collaborating with team members typically involves code reviews and sharing reusable functions to maintain consistency across projects.

What is the difference between Pandas vs Data Analysts?

AspectPandasData Analysts
Primary RoleData manipulation and analysis library for PythonInterpreting data, generating reports, and providing insights
Required SkillsPython programming, data handling, libraries like NumPyExcel, SQL, statistical analysis, communication skills
Work EnvironmentUsed within data analysis projects, coding environmentsBusiness settings, reporting, presentations
Common UsageData cleaning, transformation, analysis in PythonData interpretation, reporting, decision-making

While Pandas is a Python library used by data analysts, the two are interconnected. Pandas provides the tools data analysts use for data manipulation and analysis, making it a core component of a data analyst's toolkit. Understanding Pandas enhances a data analyst's ability to work efficiently with data in Python.

What are the key skills and qualifications needed to thrive as a Pandas developer, and why are they important?

To thrive as a Pandas developer, you need strong proficiency in Python programming, a solid grasp of data manipulation concepts, and experience working with large datasets. Familiarity with the Pandas library, data visualization tools like Matplotlib or Seaborn, and version control systems such as Git is typically required. Analytical thinking, attention to detail, and strong problem-solving skills help you stand out in this position. These skills are crucial for efficiently handling, analyzing, and drawing insights from complex data to support data-driven decision-making.

What is a Pandas job?

A Pandas job typically refers to roles involving data manipulation, analysis, and processing using the Pandas library in Python. These jobs are common in data science, analytics, and engineering, where professionals use Pandas to clean, transform, and analyze datasets. Responsibilities often include data wrangling, exploratory data analysis, and integrating Pandas with other tools like NumPy and SQL.

More about Pandas jobs
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Pandas jobs near you
Sr. Python Developer (AWS/Pandas)-Hybrid - In person Interview

Sr. Python Developer (AWS/Pandas)-Hybrid - In person Interview

MSYS Inc.

Chicago, IL • On-site

$125K - $168K/yr

Other

Posted 5 days ago

New

Job description

Title:Sr. Python Developer (AWS/Pandas)-Hybrid - In person Interview
Location:Chicago,IL
Length:Long term
Restriction:W2 or C2C
 
 
 
 
Description:

***Mode of Interview:- In-Person Intervie (Face to Face) *** Hybrid (3days Per Week onsite) at Chicago-IL ***Linkedin Must***Local to Chicago-IL Only *** Due to Secuirty Reason accepting only (Due to Secuirty Reason)***

Short Description :- 

We are seeking a highly skilled Senior Python Developer with deep expertise in Python (Pandas) to support a large-scale enterprise platform migration project on AWS. This is a hands-on software development role focused on complex data manipulation, business logic implementation, and backend development, not web development, API development, or traditional ETL engineering.

The ideal candidate will have extensive experience writing production-grade Python code that processes and transforms large datasets while leveraging AWS cloud technologies. This position requires strong coding skills, experience with containerization, cloud-native development, and Agile software delivery.

Responsibilities:- 

  • Design, develop, test, and maintain enterprise software applications using Python.
  • Build scalable backend solutions running on AWS.
  • Develop complex data processing applications using Python Pandas.
  • Manipulate and transform large datasets while implementing sophisticated business logic.
  • Design clean, maintainable, and efficient code following software engineering best practices.
  • Deploy and support applications using Docker containers.
  • Work within Linux and Windows development environments.
  • Participate throughout the Software Development Life Cycle (SDLC).
  • Collaborate with architects, platform engineers, developers, QA, and business stakeholders.
  • Troubleshoot production issues and perform root cause analysis.
  • Monitor applications using observability tools.
  • Participate in Agile ceremonies including sprint planning, standups, retrospectives, and code reviews.
  • Create technical documentation and contribute to architectural decisions.
  • Build and maintain CI/CD deployment pipelines.

Required Skills:- Overall Exp(10-13)+yrs

  • 8+ years of Python development experience.
  • 6+ years of recent hands-on experience using Python Pandas (required).
  • Strong experience developing applications on AWS.
  • Experience with:
    • boto3
    • Docker
    • Git
    • Linux
    • Windows
  • Experience working in Agile development environments.
  • Experience with CI/CD pipelines and DevOps practices.
  • Experience using observability tools such as:-
    • CloudWatch
    • Dynatrace
    • Datadog.
 

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