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Python Back Jobs in Illinois (NOW HIRING)

Senior Software Engineer, Design Systems

North Chicago, IL

$117K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and communicate back to the team with quick feedback loops. * Contribute to Unity's data ... Backend and full-stack capability with Python and Node.js. * Proficiency with the team toolstack:

Manager, Product and Marketing Analytics

Chicago, IL · On-site

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a hands-on, high-influence role blending deep analytical work in SQL/Python with strategic ... Franki is the app that helps people discover great restaurants, get cash back just for going, and ...

Senior Software Engineer, Design Systems

North Chicago, IL · On-site

$117K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and communicate back to the team with quick feedback loops. * Contribute to Unity's data ... Backend and full-stack capability with Python and Node.js. * Proficiency with the team toolstack:

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Proven experience with tools such as SQL, R, Python, Mongo DB and BigQuery * Sufficient ability ... We've got your back with company‑paid basic life and AD&D, optional voluntary life and AD&D for ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ... We've got your back with company-paid basic life and AD&D, optional voluntary life and AD&D for you ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ... We've got your back with company-paid basic life and AD&D, optional voluntary life and AD&D for you ...

Leadership Rotation Network Analyst

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a participant in our yearlong middle and back-office rotation program, referred to internally as ... Foundational knowledge of SQL, Python, or similar data tools, with an ability and willingness to ...

Trade Support Specialist - Middle Office

Chicago, IL · On-site

$100K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Proven experience automating or improving workflows using Python * 3+ years of experience in the front office, middle office, back office, or risk management roles working with exchange-traded and ...

Software Engineer - Low Touch Desk

Chicago, IL · Hybrid

$200K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Experience in developing and back testing algorithmic trading strategies. * Familiarity with containerization technologies, such as Docker. Tech Stack : Primarily C++, Python and Java. We Offer: The ...

Experienced Risk Manager

Chicago, IL · On-site

$150K - $210K/yr

  • PTO

Build and enhance quantitative risk tools, reporting, and monitoring frameworks using Python ... giving back. From entering dynamic new markets to embracing disruptive technologies, and from ...

Showing results 41-60

Python Back information

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Are Python Back still in demand in 2026?

Python backend development remains in high demand in 2026 due to its widespread use in web development, data science, and automation. Skills in frameworks like Django and Flask, along with knowledge of APIs and databases, are valuable for backend roles. The demand is driven by the ongoing need for scalable, efficient server-side solutions across industries.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries like Django and Flask. Many companies seek Python developers for web applications, data analysis, and automation, making it a valuable skill for backend roles.

What are 10 careers related to Python?

Careers related to Python include Python developer, data scientist, machine learning engineer, software engineer, automation engineer, data analyst, backend developer, DevOps engineer, cybersecurity analyst, and research scientist. These roles often require knowledge of programming, data analysis, and software development tools, with many positions demanding proficiency in Python libraries and frameworks.

Senior Data Scientist - Fraud (Hybrid)

Enova International

Chicago, IL

$96K - $125K/yr

Full-time

Posted 21 days ago


Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

Staying a step ahead of fraudsters takes an inquisitive mind, an appetite to dig deeper, and the imagination to shed new light on how we fight fraud - and here, it all starts with data. As a Senior Data Scientist on Enova's Fraud Analytics team, you'll be the quantitative engine of our fraud prevention effort. You'll develop, enhance, and test the models and pattern-recognition pipelines that surface emerging fraud trends across our lending products - then work hand-in-hand with our Fraud Operations team, who investigate the individual applications your models flag. Their findings (the false positives and false negatives) come back to you to sharpen the identifying characteristics and pivot the approach. It's a fast, iterative loop, and you sit at the center of it.

The broader Enova Analytics department consists of 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value: providing customers with access to fast, trustworthy credit while managing risk. Our company-wide, data-driven culture means you spend less time presenting and more time on the fun part: crunching data.

Key responsibilities:

  • Develop, deploy, and monitor models and pattern-recognition algorithms to detect emerging and shifting fraud trends across one or more lending products
  • Write customized programs in Python for meaningful data analysis and predictive modeling, and query large, complex datasets in SQL
  • Partner closely with Fraud Operations through the full detection loop - pulling data together, surfacing suspicious patterns, and incorporating their investigation results to refine features and reduce false positives/negatives
  • Conduct ad hoc analysis on large, complex datasets to scope new or changing fraud trends and recommend risk, verification, and operational strategies
  • Communicate findings clearly to cross-functional partners, provide requirements, and support implementation
  • Help improve underwriting and verification processes from a fraud-risk perspective
  • Apply AI in production applications to streamline fraud prevention processes
  • Mentor and develop team members, and help coordinate their work with business priorities. 

Requirements:

  • 4+ years of experience in analytics, applied machine learning, or quantitative modeling
  • Hands-on fraud experience required - fraud analytics, fraud strategy, or risk modeling, ideally in fintech or lending
  • Advanced Python and SQL; experience owning models end-to-end - design through deployment and monitoring - on large-scale transactional data
  • Track record of translating analysis into business strategy and communicating with senior stakeholders
  • Aspiration to grow into a people leadership role through mentoring teammates, driving team initiatives, and shaping priorities.

Compensation:

The budgeted annual salary range for this position is $96,000 to $125,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.


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