ZipRecruiter

Log In

1

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

Seven Seven Software

Full Stack Developers

Chicago, IL · On-site

- Proficient in Full Stack Development as well as multiple design techniques Working proficiency in ... programming languages Working proficiency in a portion of software engineering disciplines and ...

Eidra

Full-Stack Engineer

Chicago, IL · Hybrid

$135K - $165K/yr

We're seeking an experienced Full-Stack Engineer to join our product and technology group based in Chicago. At Eidra, you'll be a key member of cross-functional teams responsible for the design ...

Ocra

Full-stack Engineer

Chicago, IL · On-site

$130K - $160K/yr

We're looking for a mid-level full-stack engineer who is energized by working in a small, distributed team where autonomy, curiosity, and adaptability matter more than rigid processes (but we do work ...

Elevance Health

Full Stack Engineer Lead

Chicago, IL · On-site

$139K - $209K/yr

Full Stack Engineer Lead Full Stack Engineer Lead PLEASE NOTE: This position is not eligible for ... Responsible for delivery of application technology solutions and data information planning effort.

Apex Systems

Full Stack Product Engineer

Chicago, IL · On-site

A Full Stack Product Engineer participates within the system design and development efforts by ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

HHAeXchange

Full Stack Engineer

Mundelein, IL · Remote

$80K - $120K/yr

We're looking for a Full Stack Engineer who's eager to grow fast, think big, and build products ... If you would like more information about how your data is processed, please contact us.

ZoomLogi

Full-Stack Engineer

Chicago, IL · On-site

$180K - $240K/yr

... a full-stack engineering role at a company that's already in production, solving real-world ... The data ingestion and prediction layer. The platform ingests a continuous stream from carriers ...

Globant

Full Stack Engineer

Chicago, IL

We are looking for a smart and passionate Full stack engineer to join our team. * You will be ... Expertise in object-oriented programming, data structure, and algorithms. * Effective verbal and ...

DataAnnotation

Full Stack Engineer

Naperville, IL · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Elevance Health

Full Stack Engineer Lead

Chicago, IL

$139K - $209K/yr

Full Stack Engineer Lead Full Stack Engineer Lead PLEASE NOTE: This position is not eligible for ... Responsible for delivery of application technology solutions and data information planning effort.

DataAnnotation

Full Stack Engineer

Aurora, IL · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Full Stack Engineer

Elgin, IL · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Full Stack Engineer

Joliet, IL · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

next page

Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Chicago, IL

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 Jun 16, 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 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 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.

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 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.
What are popular job titles related to Full Stack Data Engineer jobs in Chicago, IL? For Full Stack Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
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:
Full Stack Data Engineer jobs near you

Full Stack Developers

Seven Seven Software

Chicago, IL • On-site

Full-time

Posted 26 days ago

Job description

- Proficient in Full Stack Development as well as multiple design techniques
Working proficiency in Full Stack toolset to design, develop, test, deploy, maintain and improve software
- Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks
- Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security
- Proficiency in one or more general purpose programming languages
Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of Software
Job Requirements

Apply