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

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 ...

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 ...

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 ...

Globant

Full Stack Engineer

Chicago, IL · On-site

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 ...

Apex Systems

Sr. Full Stack Engineer

Riverwoods, IL · On-site

Job#: 3040384 Full Stack Engineer (Backend-Focused) - Full Stack Engineer Overview We're supporting ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Ovative group

Sr. Full Stack Engineer

Chicago, IL · On-site

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech ... We are seeking a Sr. Full Stack Engineer to join our rapidly growing product and engineering ...

Deloitte

Cyber Full-Stack Software Engineer

Chicago, IL · On-site

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied ... As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and ...

Independence Pet Group

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

As a leading authority in the pet category, we operate with a full stack of resources, capital, and ... Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet ...

Mastech Digital

AI Full Stack Engineer

Chicago, IL · Remote

$70 - $75/hr

AI Full Stack Engineer Primary Skills: MS Azure Role Description: The AI Full Stack Engineer must have 5+ years of experience. The Expertise and Skills You Bring: - Bachelor's degree in Engineering ...

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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 Jul 15, 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 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 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 Engineer

ZoomLogi

Chicago, IL • On-site

$180K - $240K/yr

Full-time

Medical, Dental

Re-posted 27 days ago

Job description

Who We Are
Nobody calls a logistics coordinator to say things went well. They call because a $100,000 shipment of clinical trial medication has been sitting in customs for three days and nobody can explain why. Because a biologic therapy arrived outside its temperature window and the treatment has to start over. Because the patient is waiting and nobody in the supply chain can give a straight answer about the shipment's location.
This is the problem we're solving. We're a year in, tracking over 500,000 shipments (including for Fortune 100 customers), and we've already cut manual ops effort in half. General Catalyst, Eclipse Ventures, and Virtue led the seed. The angels are all former or current operators who've spent careers tracking down shipments themselves, such as Head of Logistics at Bristol Myers Squibb, CMO of Cardinal Health, President of Novo Nordisk US, President of UPS Air, and CEO of Uber Freight. They know the market is as large as the problem is broken.
What we've built works, and the most interesting problems are still ahead of us.
- Olivier, Co-founder & CEO
The Role
This is a full-stack engineering role at a company that's already in production, solving real-world problems with AI. The code you write will run on real shipments, for real customers, from day one.
Every engineer at ZoomLogi talks directly to customers. We believe engineers who've heard the problem firsthand make better product decisions than engineers who've read about it. You'll be in customer calls regularly, because what you hear there will inform what you build.
The work spans the full stack. You'll own meaningful product areas from idea to release and back again, working closely with the founding team. The engineer who joined last week was on a customer call and building AI features before the end of their first week.
What You'll Build
  • The data ingestion and prediction layer. The platform ingests a continuous stream from carriers, forwarders, IoT sensors, weather, and flight data, stitched into a unified low-latency picture of every active shipment. We continuously scan for risk using ML and the mosaic view of each shipment to flag issues before they cascade. Getting detection to work reliably across hundreds of carriers, lanes, and sensor types is ongoing work, and the cost of a missed signal is measured in patient outcomes, not dropped requests.
  • The AI workflow engine. Once a risk is detected, AI voice and text agents embedded in operational workflows prevent or resolve issues end to end, with human handoff when needed. Healthcare logistics requires every AI action to be inspectable and recorded in an immutable audit trail (HIPAA, GDPR, SOC 2). The hard part is the long tail: a carrier rep with a thick accent, a customs query that touches two playbooks, a status call that needs yesterday's exception as context. Closing that gap reliably, at low latency, with every action auditable, is most of the engineering work.
  • Reliability. We've tracked 500,000 shipments for customers who can't afford downtime. Observability, incident response, performance tuning, and the scalable patterns that hold as volume grows: unglamorous work that matters as much as anything else on this list.
  • Integrations. The platform connects to 50+ external systems today: carriers, IoT sensors, forwarders, telematics, weather, flight data, customer ERPs. Most don't have clean APIs. Some claim a shipment is delivered while the GPS shows it still in transit. Some go silent without warning. The work is building integrations that hold up against that messiness, with a framework that lets the next one ship in days, not weeks. Every new customer brings two or three of their own.

Who Thrives Here
  • You have a specific recent example of something you built, owned, and got in front of real users. And you care about what happens after it ships.
  • You're comfortable with ambiguity at the feature level. The most interesting problems here don't come with detailed specs: you hear something from a customer, you figure out what to build, and you build it. If you prefer a PM to define the problem before you start, this role will be frustrating for you.
  • You find the domain genuinely interesting. The compliance constraints, the quality/logistics tension, the fact that what you ship is moving medication to real patients: these should feel like compelling design constraints, not obstacles. An engineer who finds regulated industries tedious won't do their best work here.
  • You're honest about what you don't know. We debate hard, change our minds, and challenge each other, but always with the assumption that everyone in the room is trying to get it right.
  • You don't think customer contact is a tax on engineering time. Every engineer here is in customer calls. The product decisions that come out of those calls are the ones worth making.

This role is probably not right for you if you prefer to go deep on one hard technical problem and be left alone. The surface area here is wide: workflow engine, detection layer, AI voice features, integrations, reliability. If switching contexts drains you, this will too.
What We're Looking For
You have 2-7 years of professional engineering experience. You're genuinely full-stack: comfortable across backend, frontend, and APIs. You have production experience, you've shipped software with real users, with tests, code reviews, and CI/CD. You're strong in TypeScript/React and Python, or close enough to ramp quickly. You understand data modeling and API design. You're based in San Francisco or Chicago and excited about being in the office.
The Team
Founded by a team of operators with deep experience in Logistics Tech & Healthcare (Ex-Uber Freight GM + Airspace CRO), joined by rockstar engineers from the likes of Abbott, Uber, Hippocratic AI, BAM (Hedge fund), and others. We're here to solve a real-world problem at scale, by making every critical shipment visible, predictable, and on time, so potentially life-saving therapies reliably reach the people who need them.
The Stack
Python, React/TypeScript, Kafka, AWS. We do a lot of low-fidelity prototyping, Google Slides included. LLM infrastructure and orchestration are increasingly central to how we build.
The Interview Process
We move quickly.
  • Intro call: role fit, motivation, what you've shipped
  • Technical screen: a realistic problem close to the actual work
  • Onsite: we'll build something together
  • References → Offer

Compensation & Logistics
  • Base salary: $180K-$240K
  • Equity: Above market (4-year vesting, 1-year cliff)
  • Benefits: Best-in-class medical and dental (100% self, 50% dependents)
  • Location: San Francisco HQ (Mission) or Chicago (The Mart). Hybrid, 4 days/week in office.

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