Data Engineer

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

Nice to Have

Why Join Scaylor

Compensation