Data Engineer
Rebirth Finance is an AI-powered fintech platform that lets individuals and businesses manage fiat, crypto, and other assets in one place. It offers AI trading bots, copy trading, cross-border payments, open banking integration, and business collection/marketing tools, powered by its native REPA token.
Maintainer signals as of 8/12/2026
About Rebirth Finance
Rebirth (also referred to as Rebirth Fintech / Rebirth Finance) is a fintech platform that combines financial and social features under one roof. For individuals it offers an AI-powered trading bot, copy trading, market analytics and utilities, cross-border money transfer and contactless payments, and AI-assisted integration of bank accounts and credit cards. For businesses it provides store creation, digital marketing, loyalty programs, and receivables collection solutions across fiat, crypto, and card payments. The ecosystem is underpinned by the REPA token, a BEP20 utility and service token on the Binance Smart Chain that grants tiered loyalty benefits (Oxygen, Ruthenium, Palladium, Tritium), fee discounts, deposit interest, and a share of quarterly dividends from Rebirth's profits. Rebirth targets retail crypto/fiat users seeking automated trading and payment tools, as well as small-to-medium businesses seeking marketing, loyalty, and collections infrastructure. The company is headquartered in San Francisco, CA.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You discover, analyze, and assemble complex data sets, build ETL pipelines with SQL and Python in AWS, develop data tools for business departments, and maintain and optimize data models and architecture.
Requirements
- Experience with Postgres or Redshift
- Experience with Python
- Experience with AWS S3, Athena, Redshift, and Glue
- Experience building, optimizing, and supporting big data pipelines, architectures, and data sets
- Experience with data transformation, data structures, metadata, dependency management, and workload management
- Experience supporting cross-functional teams
Responsibilities
- Discover, analyze, and assemble large complex data sets
- Build ETL pipelines using SQL and Python in AWS
- Develop data tools for business departments
- Maintain and optimize data models and architecture
- Build processes for data transformation, data structures, metadata, dependency management, and workload management
- Support cross-functional teams
Benefits
- Bonuses
- Flexible and remote working options
- Free assorted healthy snacks and fresh fruits in the office
- Weekly gourmet breakfast meet-ups
- Regular team events and parties