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Full Stack Data Engineer Jobs in Illinois (NOW HIRING)

Full Stack Software Engineer

Chicago, IL · On-site

$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 ...

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

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

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

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

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

Full Stack Java Developer

Chicago, IL · On-site

$54 - $69.75/hr

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 ...

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

We are seeking an independent, client-facing Senior Full-Stack Developer (6-10 years of experience ... Prior insurance or claims knowledge, custom data analytics experience, and a track record with ...

We are seeking a Full Stack Engineer to join our rapidly growing product and engineering ... and data solutions to enhance performance, stability, and scalability. You will work under the ...

You will combine full-stack engineering, GenAI/LLM expertise, developer enablement, and SDLC integration.The Lead Full Stack Engineer performs software engineering activities in all layers of the ...

Showing results 21-40

Full Stack Data Engineer information

See Illinois salary details

$43.1K

$130.6K

$184.6K

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

As of Sep 9, 2026, the average yearly pay for full stack data engineer in Illinois is $130,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $153,100.00 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 Illinois look for?

The top searched job categories for Full Stack Data Engineer jobs in Illinois are:

What cities in Illinois are hiring for Full Stack Data Engineer jobs?

Cities in Illinois with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,596 per year, or $62.8 per hour.

Full Stack Software Engineer

Chicago, IL • On-site

Miller Cooper
Accounting Services • 201 - 500 employees

$125K - $145K/yr

Full-time

Re-posted 7 days ago


Job description


Full Stack Software Engineer RCM Platform
Are you ready to join a cutting-edge healthcare startup dedicated to revolutionizing the industry through innovative technologies? Our client, National Quality Systems, Inc., is looking for an experienced Full Stack Software Engineer to join their growing team. This hands-on, high impact and fully remote U.S. based role will have the opportunity to influence the future of the company.
Highlights
  • Desire to build market-leading technology that improves patient care and hospital performance.
  • Work in an entrepreneurial environment with a collaborative team.
  • Join a startup company with over 100 healthcare clients and growing!
  • Fully remote role that has a large business impact.

How You'll Contribute
  • Design, develop, test, and deploy scalable backend microservices and web applications using Python and React.
  • Build and maintain SQL databases (e.g., PostgreSQL, MySQL) for efficient, secure data storage and retrieval.
  • Develop and consume RESTful APIs and work with JSON, XML, and CSV for interoperability with EHRs, registries, and billing systems.
  • Implement cloud-native solutions on Azure, including containerized services and infrastructure-as-code.
  • Contribute to CI/CD pipelines and DevOps processes to ensure efficient deployments and reliable operations.
  • Collaborate with cross-functional teams (clinical, product, engineering) to translate business and RCM requirements into technical solutions.
  • Troubleshoot, debug, and resolve technical issues across the full stack.
  • Write clean, maintainable, well-tested code following industry best practices.
  • Participate in code reviews, design discussions, and continuous improvement initiatives.
  • Stay current with emerging technologies, healthcare data standards, and regulatory requirements.

Experience and Skills
About YOU!
  • B.S. in Computer Science, Information Technology, or a related field.
  • 5+ years of experience in full-stack development.
  • Proven healthcare domain experience (i.e. EHR systems, claims processing, clinical registries, HIPPA compliance).
  • Backend: Python (Django, FastAPI, Flask), microservices development, RESTful API design, Kubernetes, and Terraform.
  • Frontend: React, HTML5, CSS3, Typescript, JavaScript.
  • Database: SQL (e.g., PostgreSQL, MySQL).
  • Strong experience with Azure.
  • Familiarity with CI/CD pipelines and containerization tools (e.g., Docker, Kubernetes).
  • Strong problem-solving skills with the ability to work independently in a remote environment.
  • Excellent communication and collaboration skills.

Preferred
  • Hands-on experience with healthcare claims processing, including 837 (institutional/professional) claim formats and 835 remittance files, with an understanding of payer workflows, claim adjudication, and revenue cycle processes.
  • Strong knowledge of RCM (Revenue Cycle Management), including charge capture, coding concepts, denials, and reimbursement workflows.
  • Prior experience with early-stage companies or developing 0?1 products.

EQUAL OPPORTUNITY EMPLOYER
Individual salaries that are offered to a candidate are determined after consideration of numerous factors including internal equity, market data, the candidate's qualifications- including but not limited to specialty skills, prior relevant industry experience, relevant degrees or certifications. The salary range estimate below is inclusive of all departments, and offered salaries may vary within the given range between departments. A reasonable estimate of the base salary range for this level is $125,000 to $145,000 annualized and other competitive benefits.