Senior Data Engineer (AWS / Snowflake)

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 seeking a Senior Data Engineer with strong expertise in enterprise data modeling and AWS-based data platforms to support a mature and evolving data ecosystem. This role requires hands-on experience working with large-scale data environments, optimizing data models, and maintaining event-driven pipelines in a cloud-native architecture. You will work across data modeling, pipeline development, API data support, and infrastructure collaboration. This position is ideal for someone comfortable operating in enterprise environments, maintaining production-grade systems, and improving performance and scalability across a modern AWS data stack. This is a 6-month engagement with ET time zone alignment required. Must-Have:

6+ years of experience in Data Engineering

Strong experience with Snowflake and Aurora Postgres

Advanced SQL and data modeling expertise (logical & physical design)

Hands-on experience with AWS data services (Glue, Lambda, DMS, EventBridge)

Strong Python experience for data pipelines

Experience supporting enterprise-scale data platforms

Experience with CI/CD (GitHub Actions)

Comfortable working in the ET time zone

Nice to Have:

Experience working with Terraform

Exposure to artifact management and infrastructure-as-code best practices

Experience in performance tuning at scale

Experience implementing automated data quality frameworks

Prior experience in enterprise or large distributed systems