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Senior Python Engineer Jobs in Delaware (NOW HIRING)

Ampcus Inc

Sr. Software Engineer

Wilmington, DE · On-site

$118K - $156K/yr

We are seeking a highly skilled Software Engineer with expertise in Java, Python, and AWS to design, develop, and deploy scalable applications while leveraging cloud technologies to deliver efficient ...

Cognizant

Snowflake Developer (Onsite)

Wilmington, DE · On-site

$80 - $145/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sr. Snowflake Developer Role involves designing, developing, and optimizing data solutions using Snowflake and Python technologies. The candidate will work in a hybrid model collaborating with teams ...

New

Fairygodboss

Sr Lead Software Engineer Python

Wilmington, DE · On-site

$180 - $230/hr

  • Medical

  • Retirement

As a Sr Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office, you ... Advanced proficiency in Python software engineering skills * Demonstrated experience leading ...

New

Corporation Service Company

Senior Systems Engineer

Dover, DE · On-site +1

$104K - $142K/yr

  • PTO

Senior Systems Engineer - Network Engineering Wilmington, DE Monday - Friday 8:00 AM - 5:00 PM ... Developing and maintaining network automation scripts using Ansible and Python to streamline ...

City National Bank

Data Analyst Senior- VP Python

Newark, DE · On-site

$101K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engineer data pipelines and ETL processes that improve reporting timeliness and accuracy * Lead ... Advanced Python proficiency (pandas, NumPy, data processing libraries) * Advanced Tableau skills ...

City National Bank

Data Analyst Senior- VP Python

Newark, DE · On-site

$101K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engineer data pipelines and ETL processes that improve reporting timeliness and accuracy * Lead ... Advanced Python proficiency (pandas, NumPy, data processing libraries) * Advanced Tableau skills ...

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All JobsPython Engineer JobsSenior Python Engineer JobsSenior Python Engineer Jobs in Delaware

Senior Python Engineer information

See Delaware salary details

$55K

$142.1K

$195.2K

How much do senior python engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior python engineer in Delaware is $142,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,600.00 and $163,600.00 per year, depending on experience, location, and employer.

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 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 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 the most commonly searched types of Python Engineer jobs in Delaware?

The most popular types of Python Engineer jobs in Delaware are:

What are popular job titles related to Senior Python Engineer jobs in Delaware?

For Senior Python Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Python Engineer jobs in Delaware look for?

The top searched job categories for Senior Python Engineer jobs in Delaware are:

What cities in Delaware are hiring for Senior Python Engineer jobs?

Cities in Delaware with the most Senior Python Engineer job openings:

Senior Python Engineer jobs near you
Infographic showing various Senior Python Engineer job openings in Delaware as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $142,098 per year, or $68.3 per hour.

Senior Python Full Stack Engineer - Agentic AI

Whiz Global LLC

Wilmington, DE • On-site

Other

Posted 7 days ago

Job description

Senior Python Full Stack Engineer – Agentic AI

Location: Wilmington, DE
Duration: Contract
Work Model: Hybrid/Onsite as required
Experience: 7+ YearsJob Overview

We are seeking a Senior Python Full Stack Engineer with Agentic AI experience to join the CCB Digital – Connected Banking team. The engineer will work on modern SaaS platforms that are customer-facing and integrate with internal enterprise systems.

The team is actively building AI-powered agents to solve business use cases and improve software development and platform capabilities. The ideal candidate is a strong hands-on software engineer who can contribute to architecture and design discussions, perform code reviews, and develop scalable, production-quality applications.

This is an individual contributor role, not a people-management position.

Key Responsibilities

  • Design, develop, test, and maintain scalable full-stack applications using Python.

  • Build and integrate AI agents and Agentic AI capabilities into enterprise applications.

  • Work with technologies such as MCP (Model Context Protocol), Google ADK, and other AI-agent frameworks/tools.

  • Develop applications and services that integrate with AI agents and LLM-based solutions.

  • Participate in architecture, technical design, and code review discussions.

  • Develop scalable REST APIs and microservices.

  • Build cloud-native applications using AWS and containerized environments.

  • Develop and maintain applications deployed on Kubernetes/Docker platforms.

  • Work with Kafka/event streaming technologies for asynchronous and distributed systems.

  • Design and implement solutions using NoSQL databases.

  • Implement and maintain CI/CD pipelines and automated deployment processes.

  • Write comprehensive unit, integration, and automated tests.

  • Monitor applications and troubleshoot production issues using tools such as Splunk and Dynatrace.

  • Implement application monitoring, alerting, logging, and observability capabilities.

  • Apply AI-assisted development and code optimization techniques to improve developer productivity and accelerate delivery.

  • Collaborate with architects, product owners, developers, and other engineering teams in an Agile environment.

  • Ensure solutions meet enterprise standards for security, scalability, reliability, and performance.

Required Skills & Qualifications

  • 7+ years of professional software engineering experience.

  • Strong hands-on experience with Python development.

  • Strong experience in full-stack software development.

  • Experience building REST APIs, microservices, and cloud-native applications.

  • Hands-on experience with Agentic AI / AI Agents / Generative AI.

  • Experience with one or more of:

    • MCP (Model Context Protocol)

    • Google ADK

    • AI Agent frameworks

    • LLM integrations

    • Applications designed to interact with AI agents

  • Strong experience with AWS is preferred.

  • Experience with Kubernetes and Docker/containerization.

  • Experience with Kafka or other streaming/event-driven technologies.

  • Experience with NoSQL databases such as DynamoDB, MongoDB, Cassandra, or similar.

  • Strong understanding of CI/CD and DevOps practices.

  • Experience with automated testing and unit testing frameworks.

  • Experience with application monitoring and observability tools such as Splunk, Dynatrace, or similar.

  • Strong understanding of software design, development best practices, and scalable architecture.

  • Experience participating in code reviews and technical design discussions.

  • Strong problem-solving and communication skills.

Preferred Qualifications

  • Experience with AWS cloud services and cloud-native architecture.

  • Experience developing event-driven and distributed systems.

  • Experience with LLM-based application development and AI-powered business solutions.

  • Experience using AI coding assistants/tools for code optimization and developer productivity.

  • Experience with enterprise SaaS platforms.

  • Experience working in large-scale financial services or banking environments.

  • Experience with Agile/Scrum development methodologies.

Ideal Candidate Profile

The ideal candidate is a Senior-level hands-on engineer who combines strong Python/full-stack development skills with modern cloud and AI expertise. Candidates should be comfortable working independently, reviewing code, contributing to technical design decisions, and building production-ready applications involving AI Agents and Agentic AI.

Key Technologies:
Python | Agentic AI | AI Agents | MCP | Google ADK | AWS | Kubernetes | Docker | Kafka | NoSQL | CI/CD | REST APIs | Splunk | Dynatrace | Automated Testing

 

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