Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role
We are looking for a Data Engineer with strong experience in building scalable data pipelines and exposure to Machine Learning workflows.
This role focuses on designing and maintaining robust data infrastructure while supporting data-driven and AI-powered applications. You will work closely with data scientists, engineers, and product teams to ensure data is reliable, accessible, and ready for advanced use cases.
We are looking for someone who combines strong engineering fundamentals with the ability to support ML pipelines and data workflows in production environments.
Design, build, and maintain scalable data pipelines using Python and Airflow
Develop and optimize ETL/ELT processes for structured and unstructured data
Collaborate with data science teams to support Machine Learning workflows
Ensure data quality, reliability, and performance across systems
Work with large datasets and optimize queries and transformations
Integrate data from multiple sources and external systems
Monitor and improve pipeline performance and reliability
Support deployment and maintenance of data-driven and ML-enabled applications
4+ years of experience in Data Engineering or similar roles
Strong proficiency in Python for data processing and pipeline development
Hands-on experience with Apache Airflow (or similar orchestration tools)
Experience building and maintaining ETL/ELT pipelines in production
Strong knowledge of SQL and relational databases
Experience working with large-scale datasets
Exposure to Machine Learning workflows or data pipelines supporting ML models
Experience working with cloud environments (AWS, GCP, or Azure)
Strong problem-solving skills and ability to work independently
Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with data warehouses (Snowflake, BigQuery, Redshift)
Experience with streaming technologies (Kafka, Kinesis)
Familiarity with feature engineering and model data preparation
Experience with CI/CD pipelines for data workflows
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