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Pandas Jobs (NOW HIRING)

Sarian, Inc.

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Proficiency in Pandas, Tableau server modules, Numpy, Datetime, Apache Airflow related modules, APIs. * Experience with SnowSQL, Snowpipe. * Experience with Snowflake performance optimization ...

Sarian, Inc.

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Proficiency in Pandas, Tableau server modules, Numpy, Datetime, Apache Airflow related modules, APIs. * Experience with SnowSQL, Snowpipe. * Experience with Snowflake performance optimization ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. * Refactor and modularize ML codebases to enhance reusability ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. * Refactor and modularize ML codebases to enhance reusability ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. * Refactor and modularize ML codebases to enhance reusability ...

1 point system

Sr. Python Engineer

Chicago, IL · On-site

$125K - $168K/yr

Python (including Pandas and boto3). * Cloud Platform: Development experience on AWS. * Containerization: Docker. * Environments: Linux, Windows. * Version Control: Git. * Methodology: Agile ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras ...

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Pandas information

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$37.5K

$122.7K

$196.5K

How much do pandas jobs pay per year?

As of Aug 9, 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.

How to get a job working with pandas?

To work as a pandas professional, typically a data analyst or data scientist, you should develop skills in Python programming and data analysis libraries like pandas. Gaining relevant experience through projects, internships, or certifications, and understanding data manipulation and analysis techniques, can improve your chances of securing such a role.

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?

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?

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
What cities are hiring for Pandas jobs? Cities with the most Pandas job openings:
What are the most commonly searched types of Pandas jobs? The most popular types of Pandas jobs are:
What states have the most Pandas jobs? States with the most job openings for Pandas jobs include:
What job categories do people searching Pandas jobs look for? The top searched job categories for Pandas jobs are:
Pandas jobs near you
Infographic showing various Pandas job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 11% Part Time, and 7% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Accenture Federal Services

Washington, DC

Full-time

Re-posted 16 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 485 rated business services

Job description

The Work: 

  • Analyze & Innovate: Uncover trends and anomalies, turning raw data into strategic intelligence. 
  • Model & Predict: Develop and maintain models using machine learning, AI, and statistical techniques. 
  • Code & Transform: Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. 
  • Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks. 
  • Collaborate & Build: Partner with Data Engineers to define data requirements and support development. 
  • Explore & Experiment: Research and test new tools to solve challenging problems. 

Here's what you need: 

  • Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning or PEFT) 
  • Proficiency in Python (pandas, PySpark) and SQL 
  • Hands-on experience with data visualization tools like Power BI, Tableau, or Databricks 
  • Strong quantitative and analytic abilities to analyze and validate data 
  • Understanding of analytical model development and data-driven decision-making
  • Must be a US Citizen 

Bonus points if you have: 

  • Experience designing and implementing a custom Generative AI solution
  • Experience working in a cloud environment (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))
  • Experience working with federal clients 
  • Experience in a specific domain like Cybersecurity or Fraud Detection 
  • Active Clearance

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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