ZipRecruiter

Log In

1

Python Pandas Jobs in Pennsylvania (NOW HIRING)

eTeam

Python AWS Technical Lead

Malvern, PA · On-site

Required Skills (Must Have) Python programming includes experience with various frameworks and libraries such as Pandas, NumPy and others. AWS: Lambda, S3, DynamoDB, Storage Gateway and SNS Strong ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Develop data dashboards and reports in Power BI, and potentially build and manage data processing pipelines using Python libraries (like pandas or NumPy). * Collaboration: Work closely with business ...

Geisinger Health

Senior Platform Data Engineer

Danville, PA · On-site +1

$121K - $164K/yr

Strong SQL and Python (pandas, PySpark) skills for data transformation and feature engineering * Experience administering Databricks workspaces: cluster policies, compute management, access controls ...

Lutron Electronics Co., Inc

Lead Data Engineer

Coopersburg, PA · On-site

$97K - $127K/yr

Python (Pandas, NumPy, PySpark) Qualifications * Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, or Software Engineering * Minimum, cumulative GPA of 3.00 for ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

... using Python, SQL , Pandas • Good exposure to agile testing process • Should have excellent communication skills to interact with stakeholders Please apply to the job if you are interested and ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

... using Python, SQL , Pandas • Good exposure to agile testing process • Should have excellent communication skills to interact with stakeholders Please apply to the job if you are interested and ...

next page

Showing results 1-20

People also search for

All JobsPython Pandas JobsPython Pandas Jobs in Pennsylvania

Python Pandas information

See Pennsylvania salary details

$13

$58

$86

How much do python pandas jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for python pandas in Pennsylvania is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

What is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.

What are the most commonly searched types of Python Pandas jobs in Pennsylvania? The most popular types of Python Pandas jobs in Pennsylvania are:
What are popular job titles related to Python Pandas jobs in Pennsylvania? For Python Pandas jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Python Pandas jobs in Pennsylvania look for? The top searched job categories for Python Pandas jobs in Pennsylvania are:
Python Pandas jobs near you
Infographic showing various Python Pandas job openings in Pennsylvania as of July 2026, with employment types broken down into 10% Internship, 71% Full Time, and 19% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $122,225 per year, or $58.8 per hour.
Healthcare Data Scientist & AI Solutions

Healthcare Data Scientist & AI Solutions

BioVid

Bristol, PA • On-site

$120K/yr

Full-time

Posted 16 days ago

Job description

BioVid is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems.
In this role, you will personally analyze the data to uncover HCP prescribing behavior and behavioral insights. You will help bridge quantitative real-world data with qualitative market research, and play a key role in developing synthetic audiences ("Digital Twins") that mirror healthcare provider prescribing behavior and patient treatment journeys, while enabling scalable forecasting, segmentation, and market intelligence solutions.
Must-Have Qualifications
Hands-on analysis of medical / pharmacy claims data (EHR preferred)
Direct, hands-on experience analyzing the data itself - not only engineering it. You can extract and predict HCP prescribing behavior for specific drugs, for specific conditions, in specific treatment areas, and tag HCP qualitative / attitudinal segments to NPIs, associating those segments with real prescribing behavior. HIPAA requirements fluent (most of our data will be deidentified)
  • Analyze medical and pharmacy claims to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas.
  • Perform HCP / patient segmentation, demand forecasting, journey mapping, modeling
  • Help build Synthetics, simulated segments and HCP equivalents.
  • Machine Learning experience in modeling training and evaluating models (LLM fine tuning, training a nice to have)
  • Tag qualitative / attitudinal HCP segments to NPIs and link them to observed prescribing behavior.
  • Translate these analyses into actionable segmentation, targeting, and forecasting insights.

Data Cleaning, Processing, Augmentation and Transformation
  • Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling in AWS/Athena.

Key Responsibilities
Data Integration & Modeling
  • Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling inAWS/Athena.
  • Resolve identity matching, tokenization, and data harmonization challenges across disparate sources.
  • Build scalable, tested, and version-controlled data models using dbt on AWS/Athena.

Data Quality, Governance & Compliance
  • Implement automated data quality checks using tools such as Great Expectations or equivalent.

Analytics, AI & Machine Learning
  • Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy.
  • Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs.
  • Build AI-powered synthetic provider and patient personas grounded in real-world claims distributions.
  • Develop methods to scale qualitative research insights into national quantitative projections.
  • Machine Learning experience in modeling training and evaluating models. (LLM fine tuning and training a nice to have
  • Perform (or help perform) and automate pharmaceutical market research including:
  • HCP segmentation
  • Demand forecasting
  • Patient journey mapping
  • Audience simulation

API & Product Delivery
  • Build and maintain performant backend APIs using FastAPI, deployed on AWS (e.g., ECS/Fargate, App Runner, or Lambda).
  • Deliver data products, personas, and insights to internal tools and client-facing applications.

Skills & Experience
  • 5+ years in Analytics Engineering, Data Engineering, Data Science, or similar roles.
  • Proven ownership of end-to-end data pipelines and scalable analytics systems on AWS.
  • Hands-on experience with AWS data and analytics tooling, including Athena, S3, Glue, and SageMaker (AWS is the primary environment).
  • Strong experience with healthcare claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors such as IQVIA, Komodo, Symphony, or Definitive Healthcare.
  • Demonstrated hands-on analysis of medical/pharmacy claims to extract and predict HCP prescribing behavior and tag attitudinal segments to NPIs.
  • Expert SQL and strong Python skills, including pandas and large-scale data workflows.
  • Understanding of pharma market research, including patient journeys, HCP segmentation, and demand modeling.
  • Experience integrating survey or primary research data with large quantitative datasets.
  • Comfortable using AI coding assistants and agentic development tools to accelerate delivery.

Apply