1

Full Stack Data Engineer Jobs in Chicago, IL (NOW HIRING)

Sr. Full Stack Software Engineer (NetSfere Omnichannel) Infinite Convergence Solutions NetSfere ... Knowledge of data structures, databases, networks, and algorithms * Advanced knowledge of ...

New

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... Build and maintain SQL databases (e.g., PostgreSQL, MySQL) for efficient, secure data storage and ...

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... Build and maintain SQL databases (e.g., PostgreSQL, MySQL) for efficient, secure data storage and ...

Full Stack Product Engineer Remote/Onsite: Onsite 2-3 days per week in Chicago Pay: $60/hr - 65/hr Required Tech/Experience (Manager won't consider candidates without the following): * React * Node

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

Full Stack Developer

Chicago, IL · Remote

$35 - $65/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

As a Full Stack Developer, you will work collaboratively with cross-functional teams, including ... efficient data storage, retrieval, and integration. * System Integration: Collaborate with ...

Full Stack Cloud Engineer Chicago, IL Contract ( 6+ months) Hybrid - onsite 3 days per week (9:00 ... Exposure to data visualization tools . * Familiarity with Snowflake database . Skills: cloud,aws

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Ensure data integrity, security, and performance. AI & Automation Development * Assist in the ...

To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ... FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot ...

Full Stack Java Developer

Chicago, IL · On-site

$54 - $69.75/hr

  • Medical

  • Retirement

  • PTO

Full Stack Java Developer, Chicago, IL We are hiring a Full Stack Java Developer now! Urgent need ... Advanced knowledge of application, data and infrastructure architecture disciplines ...

... data. • Collaborate closely with traders, quant researchers, and algo developers to understand ... full stack applications • Proven ability to work in cross-functional teams, particularly ...

Sr. Full Stack Integration Engineer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

NET Full Stack Integration Developer, you will be a hands-on practitioner at the center of that ... Develop data pipelines and integrations using Azure Data Factory, Databricks, Azure Functions, and ...

Full Stack Developer

North Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Full Stack Developer will need experience in full-stack software development and have a ... development, data visualization, and data warehousing. Being able to interpret business ...

Showing results 21-40

Full Stack Data Engineer information

See Chicago, IL salary details

$45.8K

$138.8K

$196.2K

How much do full stack data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full stack data engineer in Chicago, IL is $138,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $162,800.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What job categories do people searching Full Stack Data Engineer jobs in Chicago, IL look for?

The top searched job categories for Full Stack Data Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Full Stack Data Engineer jobs?

Cities near Chicago, IL with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,833 per year, or $66.7 per hour.

Full-time

Re-posted 19 days ago


Job description

Job Summary:
The University of Chicago's Biological Sciences Division is seeking a Senior Full Stack Engineer to join the TMW Center for Early Learning + Public Health. The role involves leading the development and maintenance of backend services and APIs, collaborating with front-end engineers, and contributing to system architecture decisions to enhance software systems that support cognitive and social-emotional development in young children.
Responsibilities:
• Lead the development and maintenance of backend services and APIs in Django (primary) and .NET (secondary).
• Collaborate with front-end engineers to design and implement effective interfaces between the backend and the React.js client.
• Architect scalable data models, services, and integrations with third-party APIs.
• Contribute to system architecture decisions and help guide best practices in backend and full-stack development.
• Write clean, maintainable, and well-tested code across multiple systems.
• Participate in code reviews, technical design sessions, and cross-functional collaboration with product and design teams.
• Support CI/CD pipelines and ensure smooth deployments and system reliability.
• Mentor other engineers and contribute to improving development processes.
• Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
• Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
• Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
• Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.
• Supports and maintains existing applications. Works with web developers and responds to requests from users.
• Performs other related work as needed.
Qualifications:
Required:
• Minimum requirements include a college or university degree in related field.
• Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
• Lead the development and maintenance of backend services and APIs in Django (primary) and .NET (secondary).
• Collaborate with front-end engineers to design and implement effective interfaces between the backend and the React.js client.
• Architect scalable data models, services, and integrations with third-party APIs.
• Contribute to system architecture decisions and help guide best practices in backend and full-stack development.
• Write clean, maintainable, and well-tested code across multiple systems.
• Participate in code reviews, technical design sessions, and cross-functional collaboration with product and design teams.
• Support CI/CD pipelines and ensure smooth deployments and system reliability.
• Mentor other engineers and contribute to improving development processes.
• Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
• Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
• Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
• Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.
• Supports and maintains existing applications. Works with web developers and responds to requests from users.
• Resume (required)
• Cover Letter (required)
Preferred:
• Advanced Degree in data science, data analytics, computer science, software engineering or related fields strongly preferred.
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Exposure to TypeScript, GraphQL, or other modern web technologies.
• Familiarity with CI/CD systems (GitHub Actions, Azure DevOps, etc.).
• Prior experience in a startup or rapidly scaling environment.
Company:
As part of the University of Chicago, the Biological Sciences Division (BSD) pursues globally impactful solutions to seemingly unsolvable challenges. Founded in , the company is headquartered in Chicago, Illinois, US, , with a team of 1001-5000 employees. The company is currently Late Stage.