Cobaltid

Senior Data Engineer

New York City · Senior · Full-time

Sponsorship not specifiedDetected 149 days ago

Cloud PlatformsData EngineeringNLPLLMs

About the role

Company Description We have an internet for money - but still can't tell real companies apart from fake ones.
While others focus on consumers, we separate real companies from synthetic ones.
With AI accelerating fraud rings and shell companies at global scale, distinguishing a legitimate business from a sophisticated fraudster is now one of the hardest problems in fintech.

Design and build production data pipelines that ingest, normalize, and link data from hundreds of heterogeneous sources
Build and maintain data quality infrastructure: monitoring, validation, deduplication, and freshness tracking across millions of data points
Develop the ingestion and processing layer for unstructured and semi-structured data, including document parsing and extraction from inconsistent sources
Ship to production constantly - we're a small team and everything you build matters
4+ years building production data pipelines and infrastructure (we care more about skill and impact than years alone)
Cobalt ID is building the business identity infrastructure for the financial internet.
As a Senior Data Engineer, you'll own the data layer that makes everything else possible.
You'll build the ingestion pipelines, entity resolution systems, and data quality infrastructure that connects raw source data to a unified view of every entity in our graph in a manner that's fast, accurate, and explainable for compliance.
Collaborate directly with founders and customers to shape what we build next

Experience with large-scale data processing.
Hands-on experience with entity resolution, record linkage, or data deduplication.

Experience ingesting and normalizing data across unstructured / semi-structured sources
Background in knowledge graph construction, graph databases, or large-scale entity graph systems
Experience with NLP or LLM-based approaches to entity resolution or document extraction
Background in fraud detection, identity systems, ads ranking, recommendation systems, or other domains that require profiling and linking entities at scale
Familiarity with data infrastructure on cloud platforms at production scale

Instrument and monitor pipeline health, data coverage, and entity resolution accuracy as the system scales

We're a small, tight-knit, and highly technical team.
Our founders and early team members come from Waymo, Google, Meta, Brex, and Virtu Financial.
We value technical depth and curiosity, low ego, and fast execution.
We've partnered with investors who understand the plumbing of the global financial system.
We recently raised a round led by Nyca Partners, with participation from operators who built the modern fintech stack at Ramp, Plaid, and Brex.
The problems here are specific and mostly unsolved by the industry.

This listing is sourced directly from Cobaltid's careers page and normalized into a canonical job model.