ZipRecruiter

Log In

1

Seasonal Backend Developer Python Jobs in Chicago, IL

Follett

Team Lead, Python/Django Engineer

Westchester, IL · On-site

$138K - $170K/yr

The team's primary surface area is backend, with a lighter-weight React front-end layer supporting ... Partner directly with the DevOps/Infrastructure team to assess PostgreSQL instance health ...

Appex Innovation

Python Developer (Airlines)

Chicago, IL · On-site

$51.75 - $71.50/hr

... and optimizes backend services. \n \n \n Support a large\-scale enterprise solutions and ... n \n 1. Programming Language: Over 8 years in Python leveraging pandas, boto3 \n \n \n 2. ...

1 point system

Sr. Python Engineer

Chicago, IL · On-site

GIT We are seeking a Senior Python Developer to design, develop, test, and debug new and existing ... Lead the design, implementation, deployment, and support of backend services. * Support large-scale ...

HUB

Software Architect- Python

Chicago, IL

Responsibilities include providing technical direction on backend systems, architecting scalable ... Decompose technical architecture into distinct tasks that can be executed by other developers.

Hudson River Trading

Fullstack Developer

Chicago, IL

The interview process will evaluate your backend programming skills (primarily Python), and your experience working in JavaScript/TypeScript on a modern web framework (React skills are required!). It ...

Hudson River Trading

Fullstack Developer

Chicago, IL · On-site

The interview process will evaluate your backend programming skills (primarily Python), and your experience working in JavaScript/TypeScript on a modern web framework (React skills are required!). It ...

previous pagenext page

Showing results 21-40

All JobsBackend Developer Python JobsSeasonal Backend Developer Python JobsSeasonal Backend Developer Python Jobs in Chicago, IL

Seasonal Backend Developer Python information

See Chicago, IL salary details

$16.5K

$152.7K

$196.8K

How much do seasonal backend developer python jobs pay per year?

As of Aug 18, 2026, the average yearly pay for seasonal backend developer python in Chicago, IL is $152,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,900.00 and $172,500.00 per year, depending on experience, location, and employer.

What is a seasonal backend developer python?

Seasonal Backend Developer Python jobs are temporary positions where developers use the Python programming language to build and maintain server-side applications for a specific period, often aligned with a company’s peak business season. These roles typically involve working on APIs, databases, and backend logic to support web or mobile applications. Employers seek individuals who can quickly adapt, contribute to ongoing projects, and help handle increased workloads during busy times, such as holidays or special events. Candidates should have strong Python skills, familiarity with backend frameworks like Django or Flask, and experience working with databases and cloud platforms.

What are the key skills and qualifications needed to thrive as a seasonal backend developer python?

To excel as a Seasonal Backend Developer Python, you need strong proficiency in Python programming, backend frameworks (such as Django or Flask), and experience with databases, usually supported by a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and containerization tools like Docker is often required. Problem-solving, effective time management, and teamwork are vital soft skills for handling project deadlines and collaborating remotely or with cross-functional teams. These skills ensure efficient, scalable backend solutions that meet seasonal business demands and integrate seamlessly with broader systems.

What are some typical challenges faced by a seasonal backend developer python, and how can applicants prepare for them?

Seasonal Backend Developers working with Python often face tight project timelines and the need to quickly adapt to existing codebases. Since the role is temporary, ramping up effectively and collaborating with permanent team members are essential. Applicants can prepare by familiarizing themselves with common Python frameworks (such as Django or Flask), practicing reading and debugging unfamiliar code, and honing their communication skills to integrate smoothly with established workflows. Being proactive in asking questions and seeking documentation can make the transition faster and more effective.

What is the difference between Seasonal Backend Developer Python vs Backend Developer?

AspectSeasonal Backend Developer PythonBackend Developer
Required SkillsPython, Django/Flask, REST APIs, SQLPython, Django/Flask, REST APIs, SQL
Work EnvironmentTemporary, project-based, often remote or on-siteFull-time, permanent, on-site or remote
Industry UsageSeasonal projects in e-commerce, retail, or event-driven industriesContinuous development in tech, finance, healthcare

Seasonal Backend Developer Python roles focus on short-term projects requiring Python expertise, often in retail or e-commerce during peak seasons. In contrast, Backend Developers typically hold ongoing roles with broader responsibilities. Both roles require similar technical skills, but their employment duration and project scope differ.

What are the most commonly searched types of Backend Developer Python jobs in Chicago, IL?

The most popular types of Backend Developer Python jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Seasonal Backend Developer Python jobs?

Cities near Chicago, IL with the most Seasonal Backend Developer Python job openings:

Seasonal Backend Developer Python jobs near you

Team Lead, Python/Django Engineer

Follett

Westchester, IL • On-site

$138K - $170K/yr

Full-time

Posted 15 days ago

Follett rating

4.8

Company rating: 4.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

651st of 734 rated retailers

Job description

Position Overview

Join the Follett Team, where employees are valued, respected, and offered career paths throughout its many campus locations. Follett serves over half of the students in the United States and works with 80,000 schools as a leading provider of education technology, services and print and digital content. We're higher education's largest campus retailer and a hub for school spirit and community as we operate nearly 1,200 local campus stores and over 1,600 virtual stores across the continent. We take pride in the fact that for more than 140 years, we have been helping to improve people's lives by supporting a lifetime of learning and education.

The Team Lead, Python/Django Engineering(Lead Software Engineer) is the deepest technical authority on an engineering team building and operating Python/Django services backed by PostgreSQL, with significant exposure to enterprise system integrations. The team's primary surface area is backend, with a lighter-weight React front-end layer supporting it - this is a backend-first, not full-stack-parity, role. This is an individual-contributor technical leadership role: the person is expected to be the strongest engineer on the team, setting architecture direction, writing and reviewing production code at the highest bar, and serving as the technical escalation point for the hardest problems. The team already relies heavily on AI-assisted development tooling; this person is expected to own that practice and take it further, not introduce it from scratch. Sprint mechanics, hiring, and formal performance management are owned by the Engineering Manager; this role's leadership is exercised through technical judgment, code, and mentorship rather than administrative process. The Team Lead partners closely with the Director of Software Engineering and cross-functional stakeholders to translate business priorities into sound technical designs and a reliable, well-tested delivery pipeline.

Responsibilities

  • Serve as the top technical authority for the team: own architecture decisions, system design, and technical roadmap for Python/Django services, and set the engineering standard through hands-on code.
  • Guide and review the team's lighter-weight React front-end work, ensuring it stays consistent with backend patterns and quality bar - this is a supporting surface, not the primary focus of the role.
  • Own PostgreSQL data architecture end-to-end - schema design, query optimization, indexing strategy, migrations, and data integrity across production systems.
  • Partner directly with the DevOps/Infrastructure team to assess PostgreSQL instance health, performance, capacity limitations, and instance-level design decisions (beyond query/schema tuning).
  • Design and lead enterprise integration architecture - event-driven and asynchronous patterns, message queues, third-party API integrations, and multi-consumer data fan-out across downstream systems.
  • Lead code review and pairing on the team's hardest and highest-risk work, personally driving resolution on the most complex technical problems.
  • Drive CI/CD pipeline improvements, including test automation, deployment safety, and rollback procedures.
  • Monitor production health using observability tooling (e.g., PagerDuty, logging/metrics dashboards) and lead incident response and root-cause analysis.
  • Mentor engineers through pairing, code review, and informal technical growth conversations - partnering with the Engineering Manager on formal career development, hiring, and performance reviews rather than owning them.
  • Partner with product owners, QA, and adjacent platform teams to scope work, surface technical risk, and inform delivery timelines - without owning sprint planning or backlog grooming.
  • Champion secure coding practices, database access controls, and compliance with data-handling and change-management policies.
  • Own the team's AI-assisted development practice - already a heavy part of the workflow (Claude, Claude Code, GitHub Copilot) - and push it further: tooling choices, workflow patterns, and review standards for AI-assisted and AI-generated code.
Required:
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 7+ years of professional software engineering experience with Python, including proven, deep hands-on expertise with Django (models, ORM, DRF or equivalent, admin, middleware) - not just general Python.
  • Track record of being the go-to technical authority on a team: architecture decisions, the hardest debugging/design problems, and setting technical standards - whether or not the title was formally "lead."
  • Strong hands-on experience with PostgreSQL: schema design, query optimization, indexing, migrations, and troubleshooting performance issues at the query and schema level.
  • Demonstrated experience designing and building enterprise integrations - event-driven architectures, message queues (e.g., SQS, SNS, Celery), and third-party/partner API integrations in production.
  • Demonstrated experience building and maintaining RESTful APIs or backend services in a production environment at scale.
  • Working knowledge of CI/CD pipelines, version control (Git), and automated testing practices.
  • Experience with cloud infrastructure (Azure, AWS, or GCP) and containerization (Docker/Kubernetes).
  • Working proficiency in React - comfortable building and reviewing a lighter-weight front-end layer. This is a backend-first role; deep front-end specialization is not expected, but the person needs to be credible in reviewing and occasionally writing React code.
  • Hands-on, day-to-day experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot) in a production engineering workflow - this team already uses AI heavily, and the role owns pushing that practice further, not introducing it.
  • Proven, clear written and verbal communicator - able to explain technical trade-offs precisely to both engineers and non-technical stakeholders.
Preferred:
  • Experience partnering with a DevOps/Infrastructure team on database instance-level performance, capacity planning, or platform design decisions.
  • Experience operating services at scale in a retail, e-commerce, or education technology environment.
  • Familiarity with monitoring and alerting tools such as PagerDuty, Datadog, or Grafana.
  • Experience integrating with e-commerce platforms (e.g., Shopify) or similar partner/vendor systems.
  • Experience with database archiving strategies and long-term data retention planning.
  • Prior experience as the lead technical voice through a platform stabilization or modernization effort.
  • Experience working in a compliance-driven environment (e.g., SOC 2, NIST 800-53, FedRAMP/StateRAMP-style frameworks).

What Follett employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply