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Python Data Developer Jobs in Pennsylvania (NOW HIRING)

Dlapiper

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Sarian, Inc.

Python Developer

Pittsburgh, PA · On-site

$48.75 - $67.25/hr

Python Developer Location: Pittsburgh Fulltime position Onsite position JD: * 8-12 years of ... Data Analysis/Machine Learning. * Testing/Debugging/Security. * Writing, testing, and debugging ...

Marencor

Python/AI/ML Engineer

Malvern, PA · On-site

... developer with a year or two experience with generative AI (genAI is only a few years old from the ... Collaborate with data scientists, product managers, and other stakeholders to understand ...

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Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Pennsylvania?

For Python Data Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Pennsylvania look for?

The top searched job categories for Python Data Developer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Python Data Developer jobs?

Cities in Pennsylvania with the most Python Data Developer job openings:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 12% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Python Developer

AYR Global IT Solutions Inc

Philadelphia, PA

$50.75 - $70/hr

Contractor

Re-posted 24 days ago

Job description

Company Description

AYR Global IT Solutions is a national staffing firm focused on cloud,
cyber security, web application services, ERP, and BI implementations by
providing proven and experienced consultants to our clients. Our
competitive, transparent pricing model and industry experience make us a
top choice of Global System Integrators and enterprise customers with
federal and commercial projects supported nationwide.

Job Description

Job Role: Python Developer
Location:
Philadelphia, PA (Local or Nearby)
Duration: 6+
Months Contract

Need: US Citizen, Green Card, EAD Green
Card!!
F2F
Interview
Must Have:
Python
Django
NOSQL
Databases

Qualifications

Need 6+ Years of experience developing dynamic, scalable
N-Tier web applications.
Expert in:
Developing Dynamic Web Applications in
Python on Linux Environment
Object Oriented Programming
Object Oriented
Analysis and Design
RDBMS and Object Relational Mapping
Web Application
Security Practices, Authentication Mechanisms, Session Management
Developing
Scalable RESTful Web Services
Debugging complex Python Web
Applications
Transaction Management
UI Development with Frontend
Technologies such as JavaScript/CSS/HTML5/AJAX
Python Data
Structures
Well Experienced in:
Design Patterns
Django Web
Development Framework
Version control
REST Frameworks
TDD, Unit testing
with Nose2 or unittest2
PyPi
Migrations
Common Application Security
Measures and Practices
REST API Authentication mechanisms such as OAuth2,
Token Authentication etc.
Frontend MVC Frameworks and Libraries such as
Bootstrap, JQuery etc
Handling JSON Datasets
MultiThreading
Deploying
applications with Apache/NGINX/Gunicorn and thorough understanding of
Web/Application Servers
Deploying applications with one or more these of
these: Ansible/chef/fabric
Caching mechanisms, Static Content Delivery
Mechanisms
Desired experience
AngularJS/ReactJS
Flask/tornado
frameworks
Continuous Integration Environment
Behavior Driven Development
with Robot Framework, Cucumber/Gherkin etc
Data Frames
Jupyter
Notebook
Jenkins
NoSQL such as Redis, Hbase, Elastic Search

Additional Information

If you are interested please share your resume at rshaw(at)ayrglobal(dot)com or you can directly call me on (609) 736-0817

Apply