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Kalderos Tech Stack

Drug discount platform for the US healthcare supply chain

Data Infrastructure and Analytics Chicago, IL 51–200 employees Founded 2016 Privately Held

Kalderos operates a data infrastructure platform focused on drug pricing transparency and compliance across the US healthcare ecosystem. The tech stack—Snowflake, dbt, Databricks, Python—reflects a data-first architecture typical of analytics-heavy compliance products. Active hiring across data, engineering, and product suggests scaling post-initial market fit, though small volume (3 roles in 30 days) indicates measured growth rather than land-grab expansion.

Tech Stack 11 technologies

Core StackSnowflake dbt React Databricks Python Pandas NumPy Docker Terraform Azure SQL

What Kalderos Is Building

◆Challenges

Improving delivery processes
Vendor relationship management
Navigating 340b drug discount landscape
Complex legal landscape

▲Active Projects

Improving delivery processes
Technology roadmap development
Vendor relationship management
340b drug discount navigation platform
Product roadmap for 340b compliance

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Data

2

Engineering

1

Product

1

Seniority

Director

1

Mid

1

Senior

1

Staff

1

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About Kalderos

Kalderos builds technology for healthcare providers, drug manufacturers, payers, and government agencies to navigate drug pricing, rebates, and discount programs—particularly the 340B Drug Discount Program. Founded in 2016 and based in Chicago, the company operates in the intersection of healthcare data infrastructure and regulatory compliance. Current projects focus on 340B navigation, product roadmap refinement, and internal delivery process improvement. The company serves a fragmented market where pricing transparency and compliance tooling remain underdeveloped.

HeadquartersChicago, IL

Company Size51–200 employees

Founded2016

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Kalderos use?

Kalderos runs Snowflake, dbt, Databricks, and Python for data infrastructure; React on the frontend; and Azure, Docker, and Terraform for deployment and orchestration.