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Day Shift Python Coding Jobs in Chicago, IL (NOW HIRING)

Packer/Inspector - DAY SHIFT-2

Alsip, IL · On-site

$15.25 - $18.25/hr

Adhere to any and all identification sheets, tally sheets, bar codes as requested by the customer ... every day to enable the business to win. We are winning when: * Our people are engaged and ...

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Day Shift Python Coding information

See Chicago, IL salary details

$13

$60

$88

How much do day shift python coding jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for day shift python coding in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Python Coding vs Data Analyst?

AspectDay Shift Python CodingData Analyst
Required SkillsPython programming, scripting, automationData analysis, SQL, visualization
Work EnvironmentOffice, tech companies, software firmsOffice, finance, healthcare, consulting
CertificationsPython certifications, coding bootcampsData analysis certifications, Excel, SQL
Industry UsageSoftware development, automation projectsBusiness insights, reporting, decision-making

Day Shift Python Coding roles focus on developing and maintaining Python scripts for automation and software solutions, typically in tech environments. Data Analysts interpret data, create reports, and support business decisions, often using SQL and visualization tools. While both roles require analytical skills, Python Coding emphasizes programming expertise, whereas Data Analysis centers on data interpretation and communication.

What are popular job titles related to Day Shift Python Coding jobs in Chicago, IL? For Day Shift Python Coding jobs in Chicago, IL, the most frequently searched job titles are:
Full Stack Python Developer

Full Stack Python Developer

Column Technical Services

Chicago, IL

Full-time

Posted yesterday


Job description

Column Technical Services is seeking a seasoned Full Stack Python Developer with strong experience in FastAPI to join a high-performing agile team. This individual will design, build, and support scalable backend systems and APIs, while also contributing to broader full-stack initiatives that address complex business needs. Success in this role requires strong proficiency in Python, modern frameworks, database systems, and established engineering practices. If this opportunity aligns with your experience and interests, we encourage you to apply and begin the conversation with us.

This position does not provide sponsorship. Candidates must currently reside in the Chicagoland area.

Role Overview
This position is suited for a systems-minded professional who thrives in fast-moving environments and naturally leverages AI as a primary tool rather than a fallback. You will operate at the intersection of product and engineering, continuously experimenting and helping to deliver AI-driven solutions that perform effectively in real-world scenarios.
Your day-to-day work may range from implementing large language model integrations to reimagining how workflows function from the ground up. Frequent context shifts are part of the role?and are expected to energize, not disrupt, your productivity.

Key Responsibilities
  • Design and continuously refine AI-driven workflow systems using modern agent-based frameworks
  • Develop agent capabilities, supporting tools, and safeguards to ensure system reliability and predictability
  • Integrate and optimize large language model APIs (e.g., OpenAI, Anthropic) for performance and efficiency
  • Create evaluation frameworks to assess output quality and detect regressions early
  • Quickly prototype and validate new concepts through hands-on experimentation
  • Remain actively informed on advancements in AI and share relevant findings with the team
  • Partner with product managers and stakeholders to clarify requirements and translate them into technical solutions
  • Execute proof-of-concept initiatives to validate ideas and reduce implementation risk
  • Write high-quality, maintainable, and well-tested code aligned with defined acceptance criteria and compliance needs
  • Architect scalable components across data, application, and business layers
  • Diagnose and resolve technical issues throughout development and integration
  • Develop and maintain automated testing suites, including unit, integration, regression, and performance tests
  • Ensure solutions adhere to enterprise architecture standards across the development lifecycle

Required Skills & Qualifications
  • 2+ years of experience with cloud platforms such as Azure (or equivalent)
  • 2+ years working with open-source frameworks, including FastAPI and FastLLM
  • 2+ years of hands-on experience with Agile delivery practices
  • Highly adaptable with a genuine interest in staying current in a rapidly evolving AI landscape
  • Action-oriented mindset, with a preference for testing and iterating rather than over-planning
  • Strong familiarity with AI tools and a forward-thinking approach to their application
  • Ability to quickly learn new technologies and frameworks independently
  • Demonstrated experience building and deploying high-scale, distributed transactional systems
  • Strong proficiency in Python and FastAPI (or similar asynchronous frameworks)
  • Practical experience working with relational databases, such as Microsoft SQL Server
  • Exposure to large language model integrations (OpenAI, Anthropic, etc.)
  • Understanding of RESTful API design and backend development fundamentals
  • Experience with Git and collaborative version control workflows
  • Familiarity with testing frameworks like pytest or unittest
  • Experience working within Agile methodologies (Scrum or Kanban) and understanding of SDLC processes
  • Solid grasp of database design, querying, and data access patterns
  • Experience developing applications using modular, component-based frameworks
  • Strong communication skills, with the ability to collaborate across technical and non-technical audiences
  • Commitment to modern development practices for enterprise application delivery
  • Experience supporting production releases, including deployments, patches, and enhancements
  • Ability to troubleshoot production issues and improve system performance and reliability