About Labrynth
Labrynth accelerates progress by streamlining regulatory complexity.

We build AI-powered platforms that navigate complex regulations, generate audit-level documentation, and provide certainty, not shortcuts.

Our technology serves clients across heavily regulated industries including energy, compliance, and government regulations.
We operate as a forward-deployed engineering organization: small, high-velocity teams embedded directly with clients to rapidly discover needs and ship production-quality solutions.

About the Role
We are hiring a Data Engineer to build the data platform behind our regulatory indices: acquiring fragmented public data, transforming it into clean, auditable datasets, and constructing the index methodology that turns it into published rankings.
This is a data platform role more than a pure pipeline or backend role.

You will sit close to the raw sources and close to the math.

The work spans three modes:

Acquire:



source data from fragmented and often hostile places, including government open-data portals, APIs, HTML, PDFs, legacy Excel formats, login-protected portals, and commercial sites behind anti-bot protection.

Transform: normalize inconsistent jurisdictional data through bronze → silver → gold pipelines with idempotent ingestion, content hashing, and run-level lineage.

Construct: turn clean data into transparent, auditable indices through winsorization, percentile ranks, weighting, composites, and sensitivity testing.

What You'll Do

Ship scrapers and ingestion flows against messy, sometimes adversarial sources, using HTTP/2 clients, TLS-fingerprint evasion, and browser automation fallbacks, and keep them resilient as sources change

Own Postgres schema design and migrations end to end across

📌 Data Engineer, Red Tape Index - Labrynth (Argentina)
🏢 Infinity
📍 Argentina