Full Stack Engineer
<\/p>
This is a well -funded, early -stage startup <\/b> with a live product <\/b> , paying customers <\/b> , and fast access to capital <\/b> . The founding team has prior startup and successful exit experience <\/b> , and the engineering group is intentionally small, senior, and highly selective <\/b> .
<\/p>
This is not an idea -stage company and not a consulting -driven organization. The product is in market, customers are actively using it, and the company is scaling deliberately with a strong focus on engineering quality.
<\/p>
<\/div>
The client would prefer a local Chicago engineer but would relocate the right candidate for someone who wants to be in Chicago.
<\/div>
<\/div>
What the Company Is Building <\/b>
<\/h2>
The company is building a unified data platform <\/b> that makes it dramatically easier for mid -market businesses <\/b> to collect, organize, stream, and act on data <\/b>—without the complexity, cost, and operational overhead typically associated with enterprise -scale solutions.
<\/p>
The platform brings together disparate data sources into a single system and enables:
<\/p>
Real -time data ingestion and event streaming <\/b>
<\/p><\/li>Centralized organization and normalization of data
<\/p><\/li>AI -powered insights, automation, and alerts <\/b>
<\/p><\/li>Native Excel integration <\/b> for business users
<\/p><\/li>Automated workflows driven by live data signals <\/b>
<\/p><\/li><\/ul>The product is positioned as a simpler, faster, mid -market alternative <\/b> to heavyweight platforms such as Databricks <\/span><\/span><\/b> , Palantir <\/span><\/span><\/b> , and large consulting -driven implementations, which are often expensive, slow to deploy, and overbuilt for this customer segment.
<\/p>The focus is on practical, usable data intelligence <\/b> , not theoretical tooling or bloated enterprise architectures.
<\/p>
<\/div>This role is a hands -on individual contributor position <\/b> . It is not <\/b> managerial, not <\/b> consultative, and not <\/b> an oversight role. You are expected to write production code regularly <\/b> and contribute directly to core product architecture and feature development.
<\/div>
<\/div><\/span>Requirements <\/h3>
Strong, hands -on full stack software engineering experience <\/b>
<\/p><\/li>Proven ability to build and ship real production software <\/b>
<\/p><\/li>Experience working across frontend, backend, and application -layer systems <\/b>
<\/p><\/li>Comfort operating in early -stage, fast -moving, ambiguous environments <\/b>
<\/p><\/li>Startup experience strongly preferred <\/b>
<\/p><\/li>Strong engineering judgment and system -level thinking
<\/p><\/li>Engineers who still code day -to -day <\/b>
<\/p><\/li>Stable work history (this role is not <\/b> a fit for frequent job hoppers)
<\/p><\/li><\/ul>This role is NOT open to: <\/b>
<\/p>Contractors or consultants
<\/p><\/li>Agency developers
<\/p><\/li>Sales, marketing, product, or executive profiles
<\/p><\/li>Engineers who no longer code regularly
<\/p><\/li><\/ul>
<\/div><\/span>Benefits <\/h3>
Base salary: <\/b> Approximately $180,000 -$200,000 range
<\/p><\/li>Meaningful equity <\/b> with real upside (equity is a core part of compensation)
<\/p><\/li>Opportunity to join a company with live product and paying customers <\/b>
<\/p><\/li>Small, elite engineering team with real ownership and autonomy
<\/p><\/li>Direct impact on product direction and architecture
<\/p><\/li>Opportunity to build something genuinely useful at the intersection of AI and data <\/b>
<\/p><\/li>Long -term upside aligned with company growth and success
<\/p><\/li>
<\/div>Relocation to Chicago for the right candidate
<\/div>
<\/div>This is ONLY open to US Citizens or Green Card holders currently living in the United States. <\/div><\/span>
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