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Full Stack Data Analyst Developer Jobs in Illinois

SG Cap Trading

Full Stack Software Engineer

Chicago, IL · On-site

We use technology and big data to solve real world financial puzzles. Our competitive advantage is ... The ideal candidate is a hands-on developer with strong Python experience, a passion for solving ...

V.L.S. Systems, Inc

Lead Full Stack Engineer

Moline, IL · On-site

... and data-driven interfaces Optimize performance using lazy loading, memorization, and efficient ... Cloud & DevOps: Design and deploy cloud-native solutions on AWS: Lambda, API Gateway, S3, RDS ...

Smartz

Full Stack Developer

Champaign, IL · On-site

Full Stack Web and App Developer At Smartz Inc, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving technical stack. We are seeking a ...

Zmodo AI Inc

Full Stack Developer

Champaign, IL · On-site

Full Stack Web and App Developer At Smartz Inc, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving technical stack. We are seeking a ...

Purple Drive

Azure Full Stack Developer

Chicago, IL · On-site

Overview: ONSITE CLIENT EVAL REQUIRED - LOCAL ONLY Sr Azure Full Stack Developer • Hands on ... data JPA + Hibernate, Spring security(authentication/authorization/JWT) • ReactJs for UI ...

Smartz

Full Stack Developer

Champaign, IL

Full Stack Web and App Developer At Smartz Inc, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving technical stack. We are seeking a ...

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Full Stack Data Analyst Developer information

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$23

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$83

How much do full stack data analyst developer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for full stack data analyst developer in Illinois is $57.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $66.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Stack Data Analyst Developer, and why are they important?

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

What is a Full Stack Data Analyst Developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.

How does a Full Stack Data Analyst Developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.
What are popular job titles related to Full Stack Data Analyst Developer jobs in Illinois? For Full Stack Data Analyst Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst Developer jobs in Illinois look for? The top searched job categories for Full Stack Data Analyst Developer jobs in Illinois are:
Full Stack Data Analyst Developer jobs near you
Full Stack Software Engineer

Full Stack Software Engineer

SG Cap Trading

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

SG is a boutique technology company founded in 2004. We use technology and big data to solve real world financial puzzles. Our competitive advantage is a true meritocracy minimizing politics and rewarding results. The foundation of our culture is continuous improvement.
We are seeking a Full Stack Software Engineer to build and enhance the internal tools, applications, and infrastructure that support our research, engineering, and trading teams. The ideal candidate is a hands-on developer with strong Python experience, a passion for solving complex problems, and the ability to work across application development, data systems, and infrastructure.
Responsibilities:
  • Own and enhance internal software systems supporting research, engineering, and trading operations.
  • Develop across the full stack, including applications, data pipelines, infrastructure, and tooling.
  • Design, implement, and document scalable infrastructure solutions.
  • Leverage AI coding tools (Claude, Codex, GitHub Copilot, Cursor, LLMs) to accelerate development, debugging, and testing.
  • Collaborate with traders, systems engineers, and software engineers to deliver effective software solutions.
Requirements:
  • Proficiency in Python for scripting, automation, and data processing.
  • Experience integrating Python-based tools and data workflows into web applications.
  • Familiarity with Git, code reviews, and CI/CD development practices.
  • Experience working with relational and analytical databases.
  • Comfortable in Linux environments (Ubuntu/Debian, CentOS/RHEL).
  • Strong problem-solving skills and a solution-oriented mindset.
  • BS in Computer Science, Computer Engineering, or related field (or equivalent experience).
Preferred Additional Skills:
  • Knowledge of C++, including STL, memory management, pointers, and object-oriented programming.
  • Understanding of core Linux services such as systemd, SSH, DNS, and DHCP.

What we offer:
  • Work-Life Balance - no excessive overtime
  • Competitive market-based pay with results based rewards
  • Solid benefit package including 401(k), medical, dental and vision
  • Generous time off including holidays and vacation
  • Education Reimbursement
  • Freedom to solve technical challenges
  • Fully stocked break room, weekly lunches, volunteer opportunities, and more!

Apply