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

Harbor Trusted Partnership

Full Stack Engineer

Chicago, IL · Hybrid

$160K - $180K/yr

Degrees in Mathematics, Statistics, Economics, or similar quantitative disciplines are also welcome * 3 to 6 years of experience in Software Engineering, Data Engineering, Full Stack Engineering, or ...

New

Addison Group

Full Stack Engineer

Chicago, IL · On-site

$65 - $75/hr

Senior Full Stack Software Engineer Industry: Hospitality Location (City, State): Chicago, IL ... Understanding of dimensional modeling and modern data architecture concepts. * Experience with ...

Addison Group

Full Stack Engineer

Chicago, IL · On-site

$65 - $75/hr

Senior Full Stack Software Engineer Industry: Hospitality Location (City, State): Chicago, IL ... Understanding of dimensional modeling and modern data architecture concepts. * Experience with ...

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 ... We are seeking a Full Stack Software Engineer to build and enhance the internal tools, applications ...

Next Step Systems

Full Stack Developer

Chicago, IL · On-site

Full Stack Developer, Chicago, IL Hiring a Full Stack Developer now! Urgent need! Looking for ... Advanced knowledge of application, data and infrastructure architecture disciplines ...

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

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 ...

Miller Cooper

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 ...

Miller Cooper

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 ...

Addison Group

Full Stack Product Engineer

Chicago, IL · Remote

$60/hr

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

Orvixengr

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 ...

Addison Group

Full Stack Product Engineer

Chicago, IL · On-site

$60/hr

JS A Full Stack Product Engineer participates within the system design and development efforts by liaising with BA, PM, Development Manager, DBAs and Technical Architects based on Business ...

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 ...

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 ...

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Showing results 1-20

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

Full Stack Data Engineer information

See Darien, IL salary details

$43.3K

$131.3K

$185.5K

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

As of Jul 31, 2026, the average yearly pay for full stack data engineer in Darien, IL is $131,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $153,900.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

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 does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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 engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

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 job categories do people searching Full Stack Data Engineer jobs in Darien, IL look for? The top searched job categories for Full Stack Data Engineer jobs in Darien, IL are:
What cities near Darien, IL are hiring for Full Stack Data Engineer jobs? Cities near Darien, IL with the most Full Stack Data Engineer job openings:
Full Stack Data Engineer jobs near you

Full Stack Engineer

Harbor Trusted Partnership

Chicago, IL • Hybrid

$160K - $180K/yr

Full-time

Posted yesterday

New

Job description

Summary

We are hiring a Full Stack Engineer to build production applications, APIs, leveraging the existing application platform and frameworks, together with the cutting-edge AI framework (Agentic) and techniques. You will work on end-to-end features across React/TypeScript UI, backend APIs, IDP, and practice DevOps in a team environment.

You will partner closely with teams across Multi-Asset Solutions, Investment Research, Investment Products, Accounting, Marketing, and Distribution to turn real investment and business needs into production-grade tools that improve decision-making, efficiency, and client outcomes.

Who Will Thrive in This Role?

This role is ideal for engineers who enjoy building AI powered software systems rather than developing standalone models. If your passion is designing and shipping modern applications and eco-system including related APIs with production grade AI elements, you will thrive here.

You should be comfortable owning features end to end, including contributing to front end components when needed to improve usability, workflow design, and overall user experience. We value engineers who think in terms of complete solutions, not just backend services. Our emphasis is on building reliable, scalable applications.

Key Responsibilities

  • Design, develop, test, deploy, and maintain production-grade full stack applications using Python and/or React

  • Build and enhance AI-enabled applications by integrating LLMs, agentic workflows, and MCP-based capabilities into enterprise software solutions

  • Develop modern backend services and APIs that support business-critical workflows, automation, and secure application integration

  • Collaborate with business and technology stakeholders to translate requirements into scalable solutions that improve decision-making and efficiency

  • Contribute to intuitive, responsive, and user-friendly front-end experiences that improve usability and overall workflow design.

  • Deploy and support cloud-native solutions on AWS using Docker, CI/CD pipelines, and Infrastructure as Code tools such as CloudFormation, Pulumi, or Terraform

  • Write clean, maintainable, well-tested code and participate in code reviews, design discussions, and production support

  • Optimize application performance, reliability, observability, and scalability while proactively troubleshooting issues in production

  • Use AI-assisted development tools such as Claude Code to accelerate delivery and improve software quality

  • Maintain technical documentation and contribute to reusable frameworks, engineering standards, and continuous improvement initiatives

Key Behavioral Expectations

  • Applies emerging AI/LLM capabilities pragmatically, with curiosity and good judgment

  • Comfortable with discovery work: prototype, test, iterate, and validate before scaling

  • Adapts quickly as requirements and technical approaches evolve

  • Owns delivery end-to-end, driving work through production and refinement

  • Communicates openly, contributes to design discussions, and challenges assumptions constructively

  • Collaborates across teams and works across the stack when needed

Minimum Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field. Degrees in Mathematics, Statistics, Economics, or similar quantitative disciplines are also welcome

  • 3 to 6 years of experience in Software Engineering, Data Engineering, Full Stack Engineering, or related fields

  • Financial services industry experience is a plus but not required

  • Relevant Professional or Industry certifications a plus

Knowledge, Skills & Abilities Required

Ideal candidate will have knowledge and experience in one or more of the following areas which are essential to be effective and successful in this role:

Core Requirements

  • Strong software engineering fundamentals with production experience in TypeScript/Node.js and/or Python/Flask, (bonus: AI/chat/workflow UX, streaming responses)

  • Strong software development experience on DevOps, Container (Docker) technologies, and GitHub.

  • Strong IaC experience ( CloudFormation/Pulumi), Terraform background nice to have.

  • Hands-on experience shipping AI applications into production

  • Experience using LLM coding tool like Claude Code, OpenAI Codex or GitHub Copilot

  • Experience designing and developing MCP and applications using agentic workflows

  • Strong SQL and experience with Postgres/Aurora or similar

  • Experience integrating OAuth2/OIDC for secure authentication/authorization (SSO, token flows, RBAC)

  • AWS experience (infrastructure, observability, CI/CD)

Nice to Have

  • Experience in regulated environments: auditability, PII handling, data entitlements

  • Exposure to data governance and security practices in cloud environments

Compensation Pay Range: $160,000 - $180,000

This position is a hybrid opportunity based in our Chicago office. #LI-Hybrid

Apply