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.
We’re a small team of four — one backend engineer, one frontend engineer, and 2 founders. We’re looking for our fifth teammate to help us scale the engine behind it all.
⸻
The Role
You’ll work across data engineering and full-stack development, helping us build reliable data infrastructure that powers real workflows. You’ll touch everything from ingestion and transformation pipelines to the APIs and dashboards that surface insights to clients.
You’ll work directly with the founding team and help make technical decisions that define the next version of Scaylor’s core platform.
⸻
What You’ll 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
⸻
You’d Be Great Here If You
• Have 3–6 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 Scaylor’s 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
