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Senior Python Engineer Jobs in Scranton, PA (NOW HIRING)

The CFD Engineering Specialist will collaborate and work with senior design staff to further ... Experience with JAVA or Python scripting * Linux and HPC O/S a plus * MS Office Suite (Excel, Word ...

Role: Sr. Kafka Tester Location: Strongsville, OH, Pittsburgh. PA, Dallas, TX - Fulltime Position ... Proficiency in Python or other scripting languages for automating testing of data pipelines and ...

Senior Python Engineer information

See Scranton, PA salary details

$54.4K

$140.5K

$193K

How much do senior python engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior python engineer in Scranton, PA is $140,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,300.00 and $161,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What does a Senior Python Engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the common challenges Senior Python Engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.
What are popular job titles related to Senior Python Engineer jobs in Scranton, PA? For Senior Python Engineer jobs in Scranton, PA, the most frequently searched job titles are:
What cities near Scranton, PA are hiring for Senior Python Engineer jobs? Cities near Scranton, PA with the most Senior Python Engineer job openings:
Infographic showing various Senior Python Engineer job openings in Scranton, PA as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $140,540 per year, or $67.6 per hour.
AVP of Data Platform Services - Engineering & DevOps

AVP of Data Platform Services - Engineering & DevOps

Berkshire Hathaway GUARD Insurance Companies

Wilkes Barre, PA • On-site, Remote

$50.50 - $69.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Overview
Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, long-term careers.
Good Things You Can Count On.
• Hybrid schedule: 2 days remote / 3 in-office
• Predictable hours (no nights, weekends, or holidays)
• Competitive pay + generous PTO
• Medical, dental & vision starting day one
• 401(k), tuition reimbursement & longevity bonuses
Responsibilities
Shape, code and scale next-gen data services on cutting-edge DnA Platform!
At Berkshire Hathaway GUARD, we're not just insuring-we're innovating. Our Data & Analytics (DnA) organization is at the heart of transforming how we assess risk, serve customers, and shape the future of insurance. We're seeking AVP of Data Platform Services - Engineering & DevOps to lead the execution of our most strategic data initiatives.
This role will own and drive two core service pillars of our platform:
  1. Data Engineering & Integration Services
    • Enable customers to ingest, transform, and manage data pipelines using Microsoft Fabric workloads (Data Factory, Lakehouse, etc..).
  2. DevOps, CI/CD, MLOps & LLMOps Services
    • Deliver automation and operational excellence for deploying data and AI solutions.
    • Implement CI/CD pipelines for Fabric workloads, manage MLOps for model lifecycle, and establish LLMOps for generative AI solutions.

This is a hands-on leadership role-you will build and maintain code, templates, and technical assets within Microsoft Fabric workloads, while scaling services and leading a team.
What You'll Do
  • Hands-On Development: Design, build, and maintain reusable code, deployment templates, and automation scripts for Fabric workloads.
  • Service Ownership: Define, manage, and continuously improve Data Engineering and DevOps/MLOps/LLMOps service lines.
  • Customer Success: Partner with colleagues in the platform and as well as the domain senior engineers to deliver tailored solutions and ensure adoption of best practices.
  • Team Leadership: Mentor a team of engineers and architects.
  • Innovation: Drive automation, governance, and operational excellence across services.
  • Collaboration: Align services with Platform product roadmap and work closely with Domain Success teams.

KPIs & Success Metrics
  • Service Delivery: 95%+ on-time delivery of service features and enhancement requests.
  • Automation Coverage: 90%+ of deployments automated via CI/CD pipelines.
  • Customer Satisfaction: Maintain CSAT score of 4.5+/5 for service engagements.
  • Operational Efficiency: Reduce deployment cycle time by 50% within 12 months.
  • Innovation Impact: Launch at least 2 new automation or optimization features per quarter.

Qualifications
The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.
The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.
Qualifications
  • Experience: 10+ years in data engineering, DevOps, or platform services; 5+ years in leadership roles.
  • Expertise: Strong knowledge of Microsoft Fabric, Azure DevOps, CI/CD, MLOps frameworks, and modern data architectures.
  • Hands-On Skills: Proficiency in Python, SQL, PowerShell, and Fabric APIs.
  • Leadership: Proven ability to scale teams and deliver enterprise-grade solutions.
  • Strategic Thinking: Ability to translate business objectives into technical solutions and service offerings.
  • Strong mentoring and communication skills
  • Insurance industry experience preferred
  • Bonus: Experience with data product or AI product delivery and data mesh models