Data Engineer (Staff, Principal, Lead) - Financial Tech Background

San Francisco, California, United StatesOnsiteFull TimePosted 2 months ago

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Role summary

We are seeking a Senior Data Engineer with a financial technology background to build and own our data platform and infrastructure. You will design systems critical for transaction processing, analytics, reporting, and real-time insights within a global financial product. This role emphasizes high-integrity financial data systems, requiring correctness, auditability, and consistency. You will work with Python (FastAPI), AWS services (Lambda, Kinesis), and databases (Postgres, Redis), focusing on data capture, transformation, and serving. The position involves greenfield architecture and data model definition, requiring at least 5 years of experience in data pipeline and platform development, ideally within startups in banking, credit cards, crypto, remittances, or lending.

Scope of Role
We're seeking a Senior Data Engineer to build and own our data platform and infrastructure. You will design systems that power transaction processing, analytics, reporting, and real-time insights across our global financial product.
You will work on high-integrity financial data systems, where correctness, auditability, and consistency are critical.
Our backend is a Python (FastAPI) monolith supported by Lambda, Kinesis, Postgres, Redis on AWS. You will work closely with backend systems to ensure data is correctly captured, transformed, and exposed. You will design and build the systems that capture, process, and serve data across the platform, working closely with backend services and event streams.
Parts of this are greenfield, where you will define architecture, data models, and pipeline design from first principles.
Requirements
5+ years building and shipping data pipelines and platforms
Experience at banking/credit card/crypto/remittances/lending startups
Experience with data modeling, ETL/ELT, or event-driven systems
Experience generally across the backend: working with Postgres, Redis, AWS, etc.
Bonuses
You might be an especially good fit if you have:
Experience in financial technology
Full-stack engineering skillset and ability to flex across other parts of the stack

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