Data Engineer (Staff / Principal / Lead)

SadientSan Francisco, CA
2dOnsite

About The Position

The client is building a global consumer neobank, combining 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 built by a small group 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 a high level of ownership, minimal hierarchy, and a strong focus on execution. We are seeking a Senior Data Engineer to build and own the data platform and infrastructure. This 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.

Requirements

  • 5+ years of experience building and shipping data pipelines and platforms
  • Strong experience with data modeling, ETL/ELT, or event -driven systems
  • Experience working with backend systems and databases such as PostgreSQL and Redis
  • Familiarity with cloud environments, preferably AWS
  • Python (FastAPI)
  • AWS (Lambda, Kinesis)
  • PostgreSQL
  • Redis

Nice To Haves

  • Experience in financial technology or fintech systems
  • Full -stack engineering capabilities and ability to work across different layers of the stack

Responsibilities

  • Design and build scalable data platforms and infrastructure
  • Develop systems for transaction processing, analytics, and reporting
  • Build and maintain data pipelines for real -time and batch processing
  • Work closely with backend systems to ensure accurate data capture and transformation
  • Design data models and pipeline architecture from the ground up
  • Ensure data consistency, reliability, and auditability across systems
  • Collaborate with engineering teams to integrate data workflows with backend services
  • Build and scale core data infrastructure
  • Define architecture and data models from first principles
  • Work on mission -critical systems handling financial data
  • Contribute to the overall technical direction of the platform

Benefits

  • Opportunity to work on a global financial product
  • High ownership and impact from day one
  • Fast -paced environment with minimal bureaucracy
  • Ability to shape core systems and architecture
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