About Scaylor
Scaylor helps mid-market and enterprise companies make sense of their data. Most teams past $20M ARR are stuck with fragmented systems, old databases, and hundreds of spreadsheets that never quite line up. We build the pipelines that clean, normalize, and connect that data so it can actually be used.
Our platform handles everything from parsing financial models and reports to mapping tables across legacy databases and modern APIs. The goal is simple: give companies a single source of truth they can trust.
Were a small team of four one backend engineer, one frontend engineer, and 2 founders. Were looking for our fifth teammate to help us scale the engine behind it all.
The Role
Youll work across data engineering and full-stack development, helping us build reliable data infrastructure that powers real workflows. Youll touch everything from ingestion and transformation pipelines to the APIs and dashboards that surface insights to clients.
Youll work directly with the founding team and help make technical decisions that define the next version of Scaylors core platform.
What Youll Work On
Build data pipelines that extract, clean, and standardize information from Excel files, PDFs, APIs, and legacy databases
Design schemas and transformation logic for structured and semi-structured data
Develop and maintain backend APIs (Python/FastAPI or Node/Express) for data access and analytics
Help connect backend services to our frontend dashboards (React, Node.js, or similar)
Set up and maintain AWS infrastructure (Lambda, S3, ECS, CloudFormation)
Collaborate with clients to understand their data problems and design workflows that fix them
Youd Be Great Here If You
Have 36 years of experience in data engineering, backend, or full-stack roles
Write clean, maintainable code in Python + JS
Understand ETL, data normalization, and schema mapping
Have experience with SQL and working with legacy databases or systems
Are comfortable managing cloud services and debugging data pipelines
Enjoy solving messy data problems and care about building things that last
Nice to Have
Familiarity with GCP or SQL databases
Understanding of enterprise data flows (ERP, CRM, or financial systems)
Experience building and deploying containers (Docker, GitHub Actions, CI/CD)
Interest in lightweight ML or LLM-assisted data transformation
Why Join Scaylor
Be one of the first five team members shaping the product and the company
Work directly with the founder and help define Scaylors technical direction
Build infrastructure that solves real problems for real companies
Earn meaningful equity and have a say in how the company grows
Compensation
$130k - $150k with a raise based on set revenue triggers
.4% equity
Relocation to Chicago, IL required
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