About the role

Design and implement scalable ETL processes and own the technical architecture of the data platform. Collaborate with stakeholders to build backend components and convert business needs into concrete deliverables.

What they look for

Python SQL ETL/ELT DBT Airflow Spark PySpark Databricks AWS Django Celery Redis RabbitMQ PostgreSQL MongoDB Elasticsearch

Requirements

Requires over 5 years of experience in Data Engineering with proficiency in Python, complex SQL, DBT, Airflow, and Spark. Candidates must have experience with AWS, Databricks, and various database technologies, with a minimum B2 English level.

Benefits

Remote work Flexible schedule USD compensation Paid Holidays and Vacations Paid family and sick leaves English classes Educational and wellness bonus Structured career plan with regular salary reviews Personal growth and mentorship

Full description

At ioet, a leading software company with a talented team across LATAM, we provide Software Engineering as a service to clients worldwide. Join us for exciting professional challenges, working on projects ranging from innovative startups to globally recognized brands. Our positions are full-time, remote, and offer competitive compensation in USD.

We are looking for an experienced Senior Python Engineer with strong Data Engineering, ETLs, or Data-related software skills to design and build a new product from the ground up. The role maintains a strong emphasis on data pipelines and ETL/ELT processes using open technologies like DBT and Airflow.

You will design and implement scalable ETL processes, with a strong focus on SQL for complex transformations and Python for scripting and automation, while also contributing to backend services that ensure reliable and high-quality data flows. As part of an early-stage initiative, you will help convert business needs into concrete deliverables and support quick prototypes or proofs of concept.

Responsibilities:

Design and implement scalable ETL processes

Own the technical architecture, design, and implementation of the data platform

Collaborate with stakeholders and engineering leaders on the data platform roadmap

Provide technical guidance and best practices to leadership

Support and build backend components that enable stable and efficient data operations

Requirements:

5+ years working with Data Engineering, ETLs, or data-heavy backend work

Spark experience in Batch/Streaming, PySpark or Spark SQL

4+ years of complex SQL transformations and optimization

Hands-on experience with DBT and Airflow

Strong Python scripting knowledge

Experience with Databricks

Hands-on experience with AWS

Modern Data Warehouse concepts and Big Data modeling experience

Experience with DuckDB, pandas, or Jupyter Notebook is a plus

Professional experience using Python with Django

Experience with Celery for asynchronous tasks

Experience with Redis for caching

Experience with RabbitMQ for message queues and event-driven workflows

Experience with PostgreSQL as the primary database

Experience with MongoDB for metadata and indexing

Experience implementing Elasticsearch as the main search engine

Strong English communication skills – minimum B2 level

Send your application and CV in English (mandatory)

Based in Latin America

Benefits:

Remote work

Flexible schedule

Collaboration with international clients

USD compensation

Paid Holidays and Vacations

Paid family and sick leaves

English classes

Educational and wellness bonus

Structured career plan with regular salary reviews

Emphasis on personal growth and mentorship

Are you ready to be part of the ioet journey?

Get your CV in English and Apply Now.

If you are curious to know more about our culture, technologies, and blogs, visit www.ioet.com