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Think Stack Jobs in Chicago, IL (NOW HIRING)

Lead Data Engineer

Chicago, IL · On-site

$105K - $139K/yr

Think beyond implementation and design systems and platforms * Enjoy mentoring others and leading ... Collaborate across teams and contribute across the stack when needed Key Behavioral Expectations

STACK : Lead by example and validate the quality of the in-store customer experience by ... Adaptable with the ability to think creatively and quickly. * Excellent organization and analytical ...

Software Engineer, Product

Chicago, IL · Remote

$140K - $160K/yr

This isn't just another full-stack role, it's the chance to build the infrastructure that millions ... You think deeply about user experience, whether you're building for every day people opening ...

Forward Deployed Engineer

Schaumburg, IL · On-site +1

$150K - $170K/yr

Work across the entire stack, from optimizing database queries and API endpoints to crafting ... You think in terms of scalability. When you build a solution for one customer, you're already ...

Forward Deployed Engineer

Schaumburg, IL · On-site

$150K - $170K/yr

Work across the entire stack, from optimizing database queries and API endpoints to crafting ... You think in terms of scalability. When you build a solution for one customer, you're already ...

Work across the entire stack, from optimizing database queries and API endpoints to crafting ... You think in terms of scalability. When you build a solution for one customer, youre already ...

Required : • Systems Architect- You think in terms of merchant journeys and system bottlenecks ... Stack Powerhouse- Deeply proficient in Java and experienced in building high-concurrency API ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking ... Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking ... Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking ... Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or ...

You'll feel right at home here if you think differently, build boldly, and lead with impact. We're ... Proven full-stack development skills with deep expertise in JavaScript (React, Node.js), C#, Java ...

Expertise in full-stack development (Node.js, Next.js) and scalable systems. * Strong proficiency ... think Bad Bunny), with our tech, support, and strategic guidance. • Access to elite tools, AI ...

The stack is supported by a collection of internally developed large-scale distributed services and ... Have the ability to thrive on a high level of autonomy and responsibility, and think of yourself as ...

You'll feel right at home here if you think differently, build boldly, and lead with impact. We're ... Proven full-stack development skills with deep expertise in JavaScript (React, Node.js), C#, Java ...

Senior Security Engineer

Chicago, IL · On-site

$118K - $161K/yr

Experience with our stack: Wiz, Cloudflare (WAF, Gateway, Zero Trust), GitHub Advanced Security ... They think like an attacker but bring a developer mindset to their partnership with engineering ...

Software Architect

Addison, IL · On-site

$140K - $155K/yr

Someone who can think strategically about architecture, guide sound technical decisions, and also ... modern stack, while legacy areas are maintained and evolved thoughtfully. Why This Role Is ...

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Think Stack information

See Chicago, IL salary details

$24

$61

$88

How much do think stack jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for think stack in Chicago, IL is $61.05, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $70.34 per hour, depending on experience, location, and employer.

What are the primary responsibilities of an IT professional working at Think Stack, and how do they collaborate with clients and team members?

At Think Stack, IT professionals typically focus on designing, implementing, and managing secure cloud and cybersecurity solutions for clients, many of whom are in regulated industries like finance. Daily responsibilities often include troubleshooting client systems, maintaining secure infrastructure, and working closely with both internal teams and client stakeholders to ensure technology aligns with business goals. Collaboration is key, as team members participate in regular meetings, joint project planning, and cross-functional initiatives to deliver customized solutions. The dynamic, client-focused environment fosters continuous learning and provides opportunities for career advancement into lead or specialized technical roles.

What are the key skills and qualifications needed to thrive as a Full Stack Developer, and why are they important?

To thrive as a Full Stack Developer, you need strong programming skills in both front-end and back-end languages (such as JavaScript, Python, or Java), a solid understanding of databases, and typically a degree in computer science or related field. Familiarity with frameworks like React, Angular, Node.js, as well as version control systems like Git, and cloud platforms such as AWS or Azure, is commonly required. Excellent problem-solving abilities, adaptability, and effective communication skills help developers collaborate seamlessly and deliver robust solutions. These skills and qualities are crucial to efficiently build, maintain, and scale modern web applications in collaborative, fast-paced environments.

What is a Think Stack?

A Think Stack refers to a structured approach or framework that outlines the layers of technology, tools, and processes used to support strategic thinking and problem-solving in organizations. It can include methodologies, software platforms, data analysis tools, and collaboration systems that together help teams brainstorm, prioritize, and execute ideas efficiently. The concept is often used in innovation management and digital transformation to ensure that thinking processes are scalable and aligned with business goals.
What cities near Chicago, IL are hiring for Think Stack jobs? Cities near Chicago, IL with the most Think Stack job openings:
Lead Data Engineer

$105K - $139K/yr

Full-time

Posted 22 days ago


Job description

Company Overview
What makes Harbor unique is our commitment to only partnering with the very best asset managers globally. This focus allows us to act in the best interests of our shareholders every day, and help them achieve their investment goals through active, cost-aware investing. This approach has served us well, becoming one of the largest and most highly regarded managers in the industry. We take a similar approach with the people we hire, seeking the very best individuals that share our passion for putting shareholders first, and we are currently looking to grow our firm with talented, intellectually diverse people with excellent work ethics. If you are passionate about putting shareholders first and enjoy the unique nature of working with the very best asset managers in the world, please visit us at harborcapital.com/careers, search for this position and click on "Apply" to start your application!
Role Description
We are seeking a Lead Data Engineer to drive the design, architecture, and delivery of scalable data platforms, AI-powered data products, and enterprise-grade data services. This role goes beyond hands-on engineering to include technical leadership, architectural decision-making, and cross-functional influence across the organization.
You will lead the development of end-to-end data ecosystems-including data pipelines, storage, APIs, and AI-enabled services-leveraging modern cloud infrastructure and emerging AI/LLM capabilities. You will play a critical role in shaping how data is transformed into actionable insights and production-grade tools that directly support investment decisions and client outcomes.
In addition to building, you will mentor engineers, set technical standards, and guide the evolution of our data platform, ensuring scalability, reliability, and alignment with long-term business strategy.
You will partner closely with teams across Multi-Asset Solutions, Investment Research, Investment Products, Accounting, Marketing, and Distribution to translate complex business needs into robust, high-impact data solutions.
Why would you want to work on our team?
You will operate at the intersection of data engineering, AI innovation, and investment decision-making, with a high degree of ownership and visibility. This is a role where you will:
  • Influence technical direction and architecture of a growing data platform
  • Build AI-powered data products used directly by investors and business leaders
  • Work in a lean, high-impact team with minimal bureaucracy
  • Have a clear line of sight between your work and real business outcomes
  • Help define best practices in a modern, cloud-native, AI-enabled environment

Who will thrive in this role?
This role is ideal for engineers who:
  • Think beyond implementation and design systems and platforms
  • Enjoy mentoring others and leading technical discussions
  • Balance hands-on coding with strategic thinking
  • Are comfortable navigating ambiguity and shaping solutions from early-stage ideas
  • Take ownership not just of features, but of systems, standards, and outcomes

Key Responsibilities
  • Lead the architecture, design, and implementation of scalable data platforms and AI-enabled data products
  • Define and enforce data engineering standards, best practices, and design patterns
  • Own the end-to-end lifecycle of data pipelines, data services, and APIs from concept through production
  • Drive adoption of AI/LLM capabilities within data workflows and products
  • Partner with business stakeholders to translate complex requirements into technical solutions
  • Mentor and guide engineers, providing technical leadership and code reviews
  • Improve system reliability, observability, and performance across the data stack
  • Lead technical decision-making on tools, frameworks, and architecture
  • Ensure data governance, security, and compliance standards are embedded into systems
  • Collaborate across teams and contribute across the stack when needed

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

Technical Knowledge, Skills & Abilities
Core Requirements:
  • Deep expertise in data engineering fundamentals (Python, SQL) with production experience
  • Proven experience designing scalable, reliable data architectures and pipelines
  • Strong experience with AWS cloud ecosystem (infrastructure, CI/CD, observability)
  • Hands-on experience with AI-enabled applications and data pipelines
  • Strong experience with Snowflake (including Cortex AI) or similar platforms
  • Expertise in DevOps, containerization (Docker), and CI/CD pipelines
  • Strong knowledge of database systems (Postgres, Aurora, or similar)
  • Experience with Infrastructure as Code (CloudFormation, Pulumi; Terraform a plus)
  • Experience integrating and leveraging LLM developer tools (Claude Code, Copilot, etc.)

Nice to Have:
  • Experience leading or mentoring engineering teams
  • Experience in financial services or regulated environments
  • Knowledge of data governance, lineage, and security frameworks
  • Experience designing data products or internal platforms
  • Familiarity with front-end or full-stack development for end-to-end ownership

Educational Qualifications & Experience
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field (quantitative disciplines also welcome)
  • 10+ years of experience in Data Engineering, Software Engineering, or related fields
  • 2-4+ years of experience leading projects or teams (formal or informal leadership)
  • Experience delivering production-grade data platforms or AI-enabled systems
  • Financial services experience is a plus but not required

Compensation Pay Range: This position offers a competitive base salary range of $180,000-$200,000, commensurate with experience and qualifications.
This position is a hybrid opportunity based in our Chicago office. #LI-Hybrid