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Python Back Jobs in Illinois (NOW HIRING)

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ... We've got your back withcompanypaid basic life and AD&D, optionalvoluntary life and AD&Dfor you and ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ... We've got your back withcompanypaid basic life and AD&D, optionalvoluntary life and AD&Dfor you and ...

An expert in SQL and Java or Python * Extensive knowledge of data modeling techniques * Able to own ... and back-office purposes. * Design data governance processes that enable discovery, cost-sharing ...

IT Generalist

Chicago, IL · On-site

$65K - $85K/yr

In this role, you will be responsible for managing and supporting all back office technology. You ... Write light scripts (Python, PowerShell, or Bash) to automate repetitive tasks, generate reports ...

Associate Managers

Chicago, IL · On-site

$151K - $167K/yr

... drivers back on the road and to health quickly and seamlessly.We're pushing boundaries with ... Java, Python, Linux/Unix administration; Kafka; SQL, MySQL, NoSQL; containerization and ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

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 ...

... back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO ... Python (Pandas, TF, Fast API, Great Expectations), SQL (not required for this role although some ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

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 ...

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Python Back information

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements that AI tools currently cannot replicate entirely. AI can assist programmers by automating repetitive tasks and providing code suggestions, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and improving problem-solving skills can help Python coders remain valuable in the evolving tech landscape.

What is the backend for Python?

In Python development, the backend refers to the server-side code that handles data processing, storage, and application logic. Python is commonly used for backend development with frameworks like Django and Flask, which facilitate building scalable and secure web applications. Knowledge of databases, APIs, and server management is also important for Python backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries for web frameworks like Django and Flask. Employers seek Python developers for building scalable, efficient server-side applications, often requiring knowledge of databases, APIs, and cloud deployment. The role typically offers competitive salaries and opportunities across various industries such as tech, finance, and healthcare.

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.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
Quantitative Trader - High Frequency Futures

Quantitative Trader - High Frequency Futures

Wolverine Worldwide

Chicago, IL

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

We are looking for highly skilled and experienced individuals to join a research effort focused on generating high frequency trading alphas in the futures markets. The ideal candidate has direct experience in the alpha research process and understands the workflow from idea generation to production implementation. This opportunity will provide the right candidate the chance to have a large impact on the direction and productivity of a newly formed effort within a successful proprietary trading firm. 
  • Conduct financial data analysis on large datasets to generate profitable trading alphas.
  • Define key metrics for model validation
  • Back-testing and production performance monitoring
  • Contribute to in-house data analysis packages and research framework development
  • Acquisition of new data sets and cleaning/maintenance of new and existing data sets.
  • Contribute to futures trading technology stack architecture
  • At least 2+ years of experience generating or implementing short term trading alphas into production trading strategies
  • Knowledge of CME and related market microstructure required.
  • Advanced knowledge of modern statistical and machine learning techniques
  • Proficiency in a scripting language such as Python, R, or MATLAB.
  • Proficiency in at least one statistical package and one machine learning package in one of the above languages.
  • Demonstrated experience working with tick data.
  • Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, etc.
  • Experience developing software systems in an object-oriented language is a plus.
Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff. While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges.
 
Benefits:
  • Highly competitive salary & bonus opportunity
  • Generous paid time off and flexible scheduling
  • 100% coverage of medical, dental, vision, life, and disability benefits for single coverage
  • Generous Paid Parental Leave
  • Retirement Plans: 401K and Roth 401K
  • Profit sharing plan
  • Long- and short-term disability 
Additional Perks:
  • Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!)
  • On-site gym with a subsidized membership
  • Frequent company outings
  • Opportunity to give back to organizations that help individuals in need in the Chicagoland area
Professional Development:
  • In-house education team - classes and resources are offered for continuous learning opportunities
  • Mentorship Program through your first six months of employment
The base compensation range for this role is approximately $150,000-$200,000 contingent on experience. Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus.