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Pandas Jobs (NOW HIRING)

Programmers.io

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Proficiency in Python scripting and programming using Pandas, PyParsing, Airflow. o Pandas, Tableau server modules, NumPy, Datetime, Apache Airflow related modules, APIs o Setting up Python scripts ...

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ...

Wise Skulls

Technical Test Lead

Irvine, CA · On-site

$51 - $69.50/hr

Proven expertise in designing enterprise-scale automation frameworks using Python, PyTest, Pandas. * Designed and implemented enterprise PyTest automation frameworks for financial clients, reducing ...

Prophecy Technologies

Senior Python Developer

Dallas, TX · On-site

$120K - $161K/yr

Process massive transactional datasets using numerical libraries like Pandas, NumPy, and PySpark. * Develop and maintain automated workflows, orchestrating jobs with Apache Airflow DAGs. * Migrate ...

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 Aug 25, 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 is a pandas?

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.

What are the key skills and qualifications needed to thrive as a pandas developer?

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 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.

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Pandas jobs near you
Infographic showing various Pandas job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Software Engineer 2 - Spark/MapReduce/SQL/NoSQL/Pandas/Numpy/SciPy

Captivation Software

Annapolis Junction, MD • On-site

$125K - $151K/yr

Full-time

Re-posted 20 days ago

Job description

Description

Captivation Software is looking for a mid level software engineer who will performing as a Cloud-Based Analytics Developer to join our team. As part of our organization, you will be responsible for developing and maintaining high-performance analytic solutions that process heavy volumes of data. This is an excellent opportunity for someone experienced in data analytics writing, and a passion for big data and distributed computing.
 

Requirements
Security Clearance:
  • Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen
Minimum Qualifications:
  • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required
  • Bachelor's degree in Computer Science or related discipline from an accredited college or university is required
  • Four (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Required Skills:
  • Spark
  • MapReduce
  • SQL/NoSQL
  • Pandas/Numpy/SciPy

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.

Apply