Senior Data Engineer – Build Global FinTech Data Platform

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

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.