Data Engineer (Senior)

Sadient•San Francisco, CA

11d•Onsite

About The Position

The client is building a global consumer neobank that combines banking, payments, and crypto into a single platform. The focus is on emerging markets, enabling users worldwide to move money seamlessly within the ecosystem. The company is led by a small team of highly experienced operators and engineers who have previously built products used by hundreds of millions of users and generated billions in revenue. The team operates with high ownership, minimal hierarchy, and a strong focus on execution. We are looking for a Senior Data Engineer to build and own the data platform and infrastructure. The role involves designing systems that power transaction processing, analytics, reporting, and real-time insights across a global financial product. You will work on high-integrity financial data systems where correctness, auditability, and consistency are critical. The backend is built using Python (FastAPI) and supported by AWS services such as Lambda and Kinesis, along with PostgreSQL and Redis. You will collaborate closely with backend systems to ensure accurate data capture, transformation, and availability. This role includes greenfield opportunities where you will define architecture, data models, and pipeline design from scratch.

Requirements

5+ years of experience
Python
Python (FastAPI)
AWS (Lambda, Kinesis)
PostgreSQL
Redis

Nice To Haves

Experience in financial technology
Full-stack engineering capabilities with flexibility across different parts of the stack

Responsibilities

Build and maintain data pipelines and platforms with 5+ years of experience
Work on data modeling, ETL/ELT processes, and event-driven systems
Collaborate across backend systems using technologies like PostgreSQL, Redis, and AWS