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

Stellar IT Group

Full Stack Cloud Engineer

Chicago, IL · On-site

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

Next Step Systems

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 ...

ShyftOff

Senior Full Stack Engineer

Chicago, IL · On-site

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 ...

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

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

RIT Solutions

Full Stack Engineer (QE)

Deerfield, IL

Full Stack Engineer (QE) Riverwoods, IL MUST be local to Riverwoods IL Primary Skills: Java, Spring ... OCP, AWS, Liquibase, Jenkins Quality- Automation Testing Exp, Data Testing, Frameworks (Like BDD ...

The LaSalle Group

Sr. Full Stack Engineer

Chicago, IL · On-site

$160K - $180K/yr

Senior Full-Stack Software Engineer Overview A growing technology company is seeking a Senior Full-Stack Software Engineer to help build and scale web-based applications. This role will contribute ...

The LaSalle Group

Sr. Full Stack Engineer

Chicago, IL · On-site

$150K - $160K/yr

Senior Full-Stack Software Engineer Overview A growing technology company is seeking a Senior Full-Stack Software Engineer to help build and scale web-based applications. This role will contribute ...

UMATR

Full Stack Engineer

Mundelein, IL · On-site

We're looking for a Full Stack Engineer who enjoys building products from the ground up and has a ... Familiarity with streaming data, event-driven systems, or highly interactive applications Why Join?

The LaSalle Group

Sr. Full Stack Engineer

Chicago, IL · On-site

$140K - $160K/yr

Senior Full-Stack Software Engineer Overview A growing technology company is seeking a Senior Full-Stack Software Engineer to help build and scale web-based applications. This role will contribute ...

Eidra

Full-Stack Engineer

Chicago, IL · On-site

$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 ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... in full-stack development tools and technologies * Work with a team of developers with deep ...

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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 Cloud Engineer

Stellar IT Group

Chicago, IL • On-site

Full-time

Posted 29 days ago

Job description

Overview:
Full Stack Cloud Engineer
Chicago, IL
Contract (6+ months)
Hybrid - onsite 3 days per week (9:00 AM - 5:00 PM)
Role Overview
Seeking a Full Stack Cloud Engineer to support the development and scaling of its Insurance Accounting System. This role requires deep expertise in AWS cloud architecture, serverless computing, ETL pipelines, and relational databases, with a strong focus on building resilient, scalable, and secure applications. The engineer will work within a lean, autonomous team and collaborate closely with Product and Operations to deliver innovative solutions.
Key Responsibilities
  • Own end-to-end application development (TypeScript/SQL) and infrastructure code (Terraform).
  • Participate in design and product meetings, providing technical insights and implementation strategies.
  • Operate independently using Azure DevOps task boards.
  • Collaborate across enterprise teams to integrate systems and ensure seamless delivery.
Required Qualifications
  • 10+ years of experience in distributed architecture with AWS or other cloud providers.
  • 5+ years of hands-on experience with TypeScript (Python is a plus).
  • Strong background in cloud architecture, serverless computing, relational databases, and ETL pipelines.
  • Experience with Terraform or other IaC tools, CI/CD pipelines, and infrastructure automation.
  • Minimum 2+ years in an enterprise organization.
Preferred Qualifications
  • Experience with financial applications.
  • Exposure to data visualization tools.
  • Familiarity with Snowflake database.

Skills:
cloud,aws

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