Hi! We're looking
for a Data Engineer
for a Data Engineer
Remote
Full-time
$3000–$4500
R2
R2 enables platforms to offer flexible financing to their merchants in Latin America
These merchants are typically small and medium businesses (SMBs), which make up over 90% of companies in Latam yet face a trillion-dollar credit gap. At R2, we believe that SMBs are the productive engine of society.
R2 integrates with technology platforms in Latin America to embed tailored financial services that SMBs can then leverage. We are a tight-knit team backed by world-class investors such as General Catalyst and Y Combinator, among others.
These merchants are typically small and medium businesses (SMBs), which make up over 90% of companies in Latam yet face a trillion-dollar credit gap. At R2, we believe that SMBs are the productive engine of society.
R2 integrates with technology platforms in Latin America to embed tailored financial services that SMBs can then leverage. We are a tight-knit team backed by world-class investors such as General Catalyst and Y Combinator, among others.
About us
Size
Founded
HQ
25
2020
Mexico
✨ Job Description
We're a data-first company. Data is the core of our product and the lifeblood for all of our decision making. Data engineers sit at the helm of R2 by building the systems that enable new financial opportunities to thousands of small businesses across Latin America.
What you'll work on
Who you are
Bonus points
What you'll work on
- Design and maintain our data pipelines, ELT processes, and data warehouse.
- Create robust ingestion pipelines across integrations with our partners.
- Build processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Maintain documentation of data architecture and processes.
- Implement data models in the data warehouse that standardize and denormalize data from multiple sources.
- Strive to get everything automated by implementing and maintaining a robust data orchestration system.
- Build integration components that can be generalized across multiple platforms.
- Ensure data integrity by setting up alerts to know when data fails to update.
Who you are
- You have deep software engineering skills, with extensive experience (3+ years) working in Python.
- You have experience with ELT patterns, and have worked with appropriate tools such as Airbyte, Fivetran, etc.
- You are comfortable working with data orchestration systems and data pipeline tools such as Airflow, Dagster, or equivalent.
- You are an expert in SQL and data modeling with relational databases and data warehouses
- You have experience implementing data modeling and data transformation jobs with modern tools such as dbt.
- You are proficient in working with git-based version control.
- You have experience contributing to the architecture and design of new and existing data processing systems (architecture, reliability, monitoring, and scaling).
- You have collaborated closely with analysts, data scientists and machine learning engineers as your core "customers".
- You are endlessly curious and want to automate everything.
Bonus points
- Experience with cloud data warehouses (Redshift, Snowflake or BigQuery)
- Experience working within the AWS ecosystem
- Experience working with 3rd party API's
✋ Meet the team
- Roger LarachCo-Founder and CEO of R2 CapitalI'm currently the Co-Founder and CEO of R2 Capital (YC W21). Before that, I spent time with Latin American neobank, Ualá, launching operations in Mexico.
Pior to Ualá, I was an investment banker focused on M&A and restructuring deals in Latin America. - Roger TeranCo-founder of R2 CapitalGrew up in El Salvador. Early data scientist at WeWork, then led analytics at Reef, one of the largest networks of dark kitchens. Started my career helping SMBs in Central America find growth capital.
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