Senior Data Engineer (AI Data Platform)

About You You are a Senior Data Engineer passionate about building scalable data platforms that power AI-driven products and advanced analytics. You thrive in collaborative environments where you can design modern data architectures, optimize data pipelines, and enable engineering and AI teams with reliable, high-quality data solutions. You enjoy solving complex data challenges, implementing cloud-native architectures, and continuously improving data engineering practices. You are proactive, analytical, and committed to building robust, scalable, and maintainable data platforms. Note: This is a 6-month temporary opportunity with the possibility of extension. You Bring to Applaudo the Following Competencies: Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or a related field is desired, or equivalent professional experience. 5+ years of experience as a Data Engineer or in a similar role. Strong experience designing scalable data architectures and data models. Hands-on experience implementing Medallion Architecture (Bronze, Silver, Gold). Experience building ETL and data ingestion pipelines. Advanced SQL proficiency. Production experience with PostgreSQL or Supabase. Hands-on experience with Snowflake. Experience using dbt for data transformation. Experience working with AWS, particularly S3. Experience using Dagster or similar workflow orchestration tools. Familiarity with graph databases. Understanding of AI/ML concepts, including embeddings and AI-driven data workflows. Experience using Git and collaborative software development practices. Strong analytical, problem-solving, and communication skills. Upper-Intermediate to Advanced English proficiency (B2+/C1). You Will Be Accountable for the Following Responsibilities: Design, build, and maintain scalable data architectures and data models. Develop and optimize ETL and data ingestion pipelines following Medallion Architecture principles. Build and maintain Snowflake data warehouse s