Senior 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 using SQL and Python in AWS, support stakeholders with data-related technical issues and needs, develop data tools for business departments, and maintain and optimize data models and architecture.
Requirements
- Strong experience with relational SQL and NoSQL databases
- Experience with Postgres, Redshift, MySQL, MariaDB, Aurora, and MongoDB
- Experience with Python
- Experience with AWS S3, Athena, Redshift, and Glue
- Experience building, optimizing, and supporting big data pipelines, architectures, and data sets
- Experience performing root cause analysis on data and processes
- Experience building processes for data transformation, data structures, metadata, dependency, and workload management
- Ability to predict and validate performance at larger data volumes
- Experience supporting cross-functional teams
Responsibilities
- Discover complex data sets
- Analyze data sets
- Assemble data sets to meet business requirements
- Build ETL pipelines using SQL and Python in AWS
- Support stakeholders with data-related technical issues
- Develop data tools for business departments
- Maintain data models and architecture
- Optimize data models and architecture
- Perform root cause analysis on data and processes
- Build data transformation and workload management processes
- Validate performance at larger data volumes
Benefits
- Competitive salary and bonuses
- Flexible and remote working options
- Annual bonuses
- Learning Hub
- Free assorted healthy snacks and fresh fruits in the office
- Weekly gourmet breakfast meet-ups
- Regular exciting team events and parties