Data Engineer (Senior)

Sadient; San Francisco (CA); On-site; USD 160,000 - 260,000; Full time

Job summary

Sadient in San Francisco is seeking a Senior Data Engineer to design and own the data platform powering transaction processing, analytics, and real-time insights across a global fintech product.

You will build scalable data pipelines, model data, and implement ETL/ELT processes using Python (FastAPI), AWS (Lambda, Kinesis), PostgreSQL, and Redis, with emphasis on correctness and auditability. The role offers greenfield architecture opportunities and high ownership.

Qualifications

• 5+ years of experience building data platforms and pipelines.
• Strong data modeling and ETL/ELT implementation skills.
• Experience with PostgreSQL, Redis, and AWS services.
• Proficiency in Python, preferably FastAPI, for data tooling.

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
• Python (FastAPI)
• AWS (Lambda, Kinesis)
• Redis

Skills

Data pipelines

Data modeling

ETL/ELT

Event-driven

Python (FastAPI)

AWS

PostgreSQL

Redis

Job description

San Francisco, United States | Posted on 08/10/2026

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.

Role Overview

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

Key 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
• Python (FastAPI)
• AWS (Lambda, Kinesis)
• Redis

Bonus Skills

Experience in financial technology

Full-stack engineering capabilities with flexibility across different parts of the stack

What We Offer

Immediate impact on products used by millions globally

Opportunity to shape technical vision and architecture

Ownership of major parts of the product and infrastructure

Fast-paced environment with minimal corporate overhead