Revelio Labs aggregates billions of employment records into a standardized database to reveal workforce composition and dynamics across companies. The tech stack is data-heavy (Python, SQL, Snowflake, Airflow, Kubernetes) and the active project list clusters around cloud infrastructure optimization and cost control—suggesting the company is managing rapid data scale and refining operational efficiency as it matures. Hiring has slowed (2 roles in 30 days) with a pronounced tilt toward data roles, indicating either team stability or a shift toward consolidation and quality over headcount growth.
Revelio Labs builds a workforce intelligence platform that standardizes public employment records at scale to enable deep visibility into company workforce dynamics. The product serves investors, corporate strategists, HR teams, and government clients. Founded in 2018 and headquartered in New York, the company operates a data-first model backed by a Python and SQL–heavy stack running on AWS and GCP, with Snowflake as its analytical backbone. Current work centers on handling terabyte-scale data aggregation, migrating backend services, and optimizing cloud infrastructure costs.
Core stack includes Python, SQL, Snowflake, AWS, GCP, Kubernetes, Docker, Apache Airflow, pandas, and Git. Data processing centers on regex and bash, with Jenkins for CI/CD and Jupyter for exploration.
Active projects include on-demand data aggregation, machine learning model application, cloud cost optimization, backend services migration, and cloud infrastructure upgrades—reflecting a focus on handling massive data scale and operational efficiency.
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