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Day 17
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São Paulo BR, Santiago CL, Buenos Aires Ar or Bogotá CO.
Live, first seen by us 17 days agoEmployment type in the employer’s posting: ContractorFrom the employer’s posting
Design and maintain data pipelines, ELT processes and the data warehouse
Build ingestion pipelines across integrations with partner platforms
Model data in the warehouse to standardize and denormalize multiple sources
Automate data workflows with a robust orchestration system
Set up alerts to catch data that fails to update
Design and maintain our data pipelines, ELT processes, and data warehouse.
Create robust ingestion pipelines across integrations with our partners.
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.
Ensure data integrity by setting up alerts to know when data fails to update.
extensive experience (5+ years) working in Python
You are an expert in SQL and data modeling with relational databases and data warehouses
have worked with appropriate tools such as Airbyte, Fivetran, etc.
comfortable working with data orchestration systems and data pipeline tools such as Airflow, Astronomer, Dagster, or equivalent
You have experience implementing data modeling and data transformation jobs with modern tools such as dbt.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 17
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Who you are: - You have deep software engineering skills, with extensive experience (5+ 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, Astronomer, 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 have deep software engineering skills, with extensive experience (5+ 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, Astronomer, Dagster, or equivalent.
- Experience with cloud data warehouses (Redshift, Snowflake or BigQuery) - Experience working within the AWS ecosystem - Experience working with 3rd party API’s
- You are endlessly curious and want to automate everything. - Experience with cloud data warehouses (Redshift, Snowflake or BigQuery) - Experience working within the AWS ecosystem
- 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 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, Astronomer, Dagster, or equivalent. - You are an expert in SQL and data modeling with relational databases and data warehouses
Complete your application on r2.bamboohr.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Data Engineer (LatAm Only) job there since June 2026. It came down after 14 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
At R2, we believe that small and medium businesses are the productive engine of society. Small and medium businesses (SMBs) make up over 90% of companies in Latin America, yet they face a trillion-dollar credit gap. Our mission is to unlock SMBs’ potential by providing financial solutions tailored to their needs. We are reimagining the financial infrastructure of Latin America, where SMBs’ financial needs are met without ever having to go to a bank.
R2 enables platforms across Latin America to embed financial services that SMBs can leverage, starting with revenue-based financing. We are a high-performing, close-knit team with talent from organizations such as Google, Amazon, Nubank, Uber, Capital One, Mercado Libre, Globant, and J.P. Morgan.
We are entering a new phase of growth following a strategic investment from Ant International, focused on rapidly expanding our partner footprint, strengthening our credit and underwriting capabilities, and scaling operations across multiple markets. As part of this growth journey, eligible team members have the opportunity to participate in R2’s Phantom Share Program, a performance-based incentive designed to align our team with the company’s long-term success and value creation. We believe in building a culture of ownership, where those who help create value share meaningfully in it.
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.
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Location: São Paulo BR, Santiago CL, Buenos Aires Ar or Bogotá CO.
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