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Senior Data Engineer (LatAm Only)

São Paulo BR, Santiago CL, Buenos Aires Ar or Bogotá CO.

Live, first seen by us 17 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Contract — employment source
Employment type in the employer’s posting: Contractor
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 5+ years of software engineering experience in Python
  • Expert-level SQL and relational data modeling
  • Experience with ELT tools such as Airbyte or Fivetran
  • Experience with orchestration tools such as Airflow, Dagster or Astronomer
  • Experience with dbt and git-based version control
Qualification wording
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.
Apply at R2

Posting record

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Status in our records
Live
First seen by us
Oct 18, 202617 days ago
Recorded sightings
18
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 17

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

R2 is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add 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.

  • Python
  • SQL
  • Airbyte
  • AWS
  • BigQuery
  • dbt
  • Fivetran
  • Redshift
  • Snowflake
  • Airflow
  • Dagster
Where the posting names them
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

Your next step

Complete your application on r2.bamboohr.com. The employer’s form will show what is required.

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Has R2 posted this job before?

Yes. We’ve followed one other Senior Data Engineer (LatAm Only) job there since June 2026. It came down after 14 days.

  1. Place not statedCame down after 14 days, first seen Jun 4
  2. This jobUp 18 days so far, first seen Oct 18

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.

 

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 (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 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.
  • Experience with cloud data warehouses (Redshift, Snowflake or BigQuery)
  • Experience working within the AWS ecosystem
  • Experience working with 3rd party API’s


What We Offer:

  • The chance to join a high-impact, mission-driven fintech with regional scale
  • Leadership over enterprise controls for a fast-paced and growth-oriented startup
  • Cross-functional collaboration with exceptional teams across Latin America
  • Equipment provided by R2
  • Training budget for professional development
  • Career growth within R2


Location: São Paulo BR, Santiago CL, Buenos Aires Ar or  Bogotá CO.

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