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

Paychex

AI Engineer ( Automation)

Allentown, PA · On-site +1

$101K - $159K/yr

... senior engineers to operationalize and document these processes. Engineers and builds seamless ... Python (Programming Language) - Preferred * Microsoft Azure - Preferred * Human Machine Interfaces ...

AHEAD

Infrastructure Engineer

Reading, PA

$103K - $135K/yr

... senior engineers, security, and architecture teams to execute against established designs ... Contribute to automation efforts (e.g., PowerShell, Python, Terraform, Ansible) to streamline ...

Grantek

Systems Engineer

Allentown, PA · On-site +1

... senior team members who are integral to our client's manufacturing processes. We are seeking a ... Experience with Python, Historian (PI System), and databases is a plus * Project Documentation:

Grantek

Systems Engineer

Allentown, PA · On-site +1

... senior team members who are integral to our client's manufacturing processes. We are seeking a ... Experience with Python, Historian (PI System), and databases is a plus * Project Documentation:

Penske

Maintenance Analyst

Reading, PA · On-site

$66K - $84K/yr

The Penske Maintenance Analytics team is seeking a Senior Maintenance Analyst to drive business ... Advanced proficiency with Python, PySpark, or similar languages for analytics, data engineering ...

Saransh Inc

Data Architect (DWH)

Reading, PA · On-site

$61.25 - $78.75/hr

... Engineering/Big data tools such as Python, PySpark, Kafka, API's, Talend and BODS, etc. • ... with Senior & Mid-Level Management to align business process initiatives and strategies with ...

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Senior Python Developer information

See Kutztown, PA salary details

$51.2K

$132.1K

$181.5K

How much do senior python developer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for senior python developer in Kutztown, PA is $132,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $152,100.00 per year, depending on experience, location, and employer.

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 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 cities near Kutztown, PA are hiring for Senior Python Developer jobs? Cities near Kutztown, PA with the most Senior Python Developer job openings:
Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Kutztown, PA as of May 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $132,113 per year, or $63.5 per hour.

Senior Cloud Database Engineer (Snowflake)

Saransh Inc

Reading, PA • On-site

$101K - $138K/yr

Contractor

Posted 17 days ago

Job description

Job Title: Senior Cloud Database Engineer (Snowflake)

Work Location: Reading, PA

Duration: Long Term 

Job Description

The primary responsibility of this role is to design and engineer resilient enterprise data platforms, both on-premises and in a multi-cloud hybrid environment, guided by the principles of a well-architected framework.

This is an individual contributor role that requires collaboration with cross-functional teams across the company to ensure platforms are built for adoption with high standards of performance, scalability, and cost optimization, while leveraging emerging technologies in the data ecosystem.

The person in this role will support the Data Engineering and Services team's objective to architect and engineer highly resilient and available data platforms in a global multi-cloud hybrid environment.

Mandatory Skills

  • Bachelor’s degree in IT or a related field.
  • 10+ years of progressive experience in database technologies.
  • 5+ years of extensive experience with database technologies such as Snowflake, Redis/Memory DB, DynamoDB, Aurora/RDS, MySQL, PostgreSQL, and MongoDB.
  • 5+ years of experience with cloud databases and public cloud services (AWS, Azure, OCP, OIC, MongoDB Atlas, etc.).
  • 3+ years of experience designing business solutions in a hybrid cloud environment.
  • Strong command of SQL, PowerShell, and Unix shell scripting; knowledge of Python and JSON is a plus.
  • Proficiency in SQL tools such as TOAD, SQL Developer, PGADMIN, DPA, snowsql, MongoDB compass, etc.
  • Advanced knowledge of database security, backup and recovery, and performance monitoring standards.
  • Solid understanding of relational and dimensional data modeling.
  • Experience with database migrations and upgrades.
  • Experience with both homogeneous and heterogeneous database migrations between cloud and on-premises environments.
  • Expertise in modern approaches to designing, building, optimizing, and deploying database workloads in public cloud environments, preferably AWS.
  • Skilled in schema design and data modeling.
  • Proven ability to drive architectural and security improvements across systems, tools, and workflows.
  • Passion for automation and optimization of database infrastructure, working effectively with international teams (onsite and offshore).
  • Strong written and verbal communication skills, with the ability to present concepts and recommendations to management.
  • AWS/Azure cloud certifications.

What You'll Be Doing

  • Support application modernization and lead database migrations from on-premises to cloud environments.
  • Stay current with industry trends and evaluate competitive advantages of emerging technologies, patterns, and methodologies.
  • Drive the creation of technology roadmaps and maintain product portfolio components.
  • Collaborate with product owners, enterprise architects, business SMEs, and various application teams.
  • Act as a Level 3 support resource for high-priority database-related incidents.
  • Provide mentorship to onsite and offshore resources regarding cloud database technologies.
  • Support internal and external audit requests related to databases.
  • Guide teams in upgrading databases to newer versions and applying security patches.
  • Collaborate proactively to ensure database reliability, enforce robust security measures, and conduct strategic capacity planning to support scalable and resilient infrastructure.
  • Communicate complex technical concepts effectively and align stakeholders on key decisions.
  • Design and implement automated infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation, ensuring consistency, scalability, and repeatability across environments.
  • Lead efforts to modernize legacy database systems and migrate workloads to cloud-native platforms, leveraging automated pipelines and IaC for deployment.
  • Implement observability tools to monitor database performance and system health, including setting up alerts, dashboards, and logs using tools like Prometheus, Grafana, CloudWatch, and LogicMonitor.
  • Support the Data Engineering team’s objective to architect and engineer resilient, cost-optimized data platforms in a multi-cloud hybrid environment.
  • Develop, implement, and regularly test database backup, recovery, and disaster recovery plans to ensure business continuity.
  • Create scripts and procedures to automate routine maintenance tasks such as backups, patching, and monitoring.