1

Senior Python Developer Jobs in Reading, PA (NOW HIRING)

Senior Maintenance Analyst

Reading, PA ยท On-site

$55 - $58/hr

Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

Senior Maintenance Analyst

Reading, PA ยท On-site

$55 - $58/hr

Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

Senior Maintenance Analyst

Reading, PA ยท On-site

$55 - $70/hr

Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ... Experience with Python and/or other code languages required * 6 Sigma Black Belt certification ...

Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ... Experience with Python and/or other code languages required * 6 Sigma Black Belt certification ...

Senior Data Engineer- MS Fabric

Lebanon, PA ยท On-site

$104K - $141K/yr

Strong Power BI, SQL, and Python skills Strongly Preferred * Experience governing data in ... Work directly with senior leadership * Modern Stack : Microsoft Fabric, Purview, Power BI, AI

next page

Showing results 1-20

Senior Python Developer information

See Reading, PA salary details

$52.8K

$136.3K

$187.3K

How much do senior python developer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for senior python developer in Reading, PA is $136,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a Senior Python Developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

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

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by Senior Python Developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.
What are the most commonly searched types of Python Developer jobs in Reading, PA? The most popular types of Python Developer jobs in Reading, PA are:
What are popular job titles related to Senior Python Developer jobs in Reading, PA? For Senior Python Developer jobs in Reading, PA, the most frequently searched job titles are:
What cities near Reading, PA are hiring for Senior Python Developer jobs? Cities near Reading, PA with the most Senior Python Developer job openings:
Senior Maintenance Analyst

Senior Maintenance Analyst

Mondo

Reading, PA โ€ข On-site

$55 - $58/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

Apply now: Senior Maintenance Analyst, location is Onsite. The start date is ASAP for this contract-to-hire position.

Job Title: Senior Maintenance Analyst Location-Type: Onsite (Reading, PA) Start Date Is: ASAP Duration: 6-Month Contract-to-Hire Compensation Range: $55-$58 per hour W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.

Day-to-Day Responsibilities:

  • Develop and maintain scalable, reusable data products for cross-functional business teams
  • Build and optimize SQL queries, ETL processes, and data transformation workflows
  • Develop analytics solutions using Python and PySpark
  • Support data pipeline design, validation, and governance initiatives
  • Partner with stakeholders to gather requirements and translate business needs into data solutions
  • Collaborate with data science, engineering, and reporting teams to deliver standardized data products
  • Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
  • Support data visualization and reporting initiatives
  • Ensure data quality, integrity, and governance standards are maintained
  • Analyze large-scale datasets and provide actionable business insights

Minimum Requirements:

  • 3-5 years of data analytics, data engineering, or related experience
  • Expert-level SQL skills including joins, CTEs, window functions, and complex query development
  • Experience with ETL processes and data cleansing
  • Strong Python development experience
  • Experience developing solutions using PySpark
  • AWS cloud services experience
  • Experience working with large datasets and enterprise-scale data environments
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Ability to work independently and take ownership of projects

Preferred Qualifications:

  • Experience with Tableau, Qlik Sense, or similar visualization tools
  • Experience with SQL Server, Oracle, IBM DB2, or related databases
  • Power Platform experience
  • Exposure to data science, forecasting, or predictive analytics initiatives
  • Knowledge of geospatial analysis or ESRI/ArcGIS concepts
  • Experience supporting cloud and on-premises data ecosystems