Applaudo Studios

Senior Data Engineer (AI Data Platform)

Rol remoto de Data Engineer con fit claro de ubicación del candidato.

Publicado23 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Brasil

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

5+ years of experience as a Data Engineer.
Strong experience with Snowflake, dbt, SQL, and ETL pipelines.
Experience implementing Medallion Architecture and designing scalable data models.
Experience with AWS S3, Dagster (or similar orchestration tools), and PostgreSQL or Supabase.
Upper-Intermediate to Advanced English proficiency (B2+/C1).

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).

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 solutions and dbt transformation models.
Develop workflow orchestration pipelines using Dagster or similar technologies.
Manage and optimize cloud-based data storage using AWS S3.
Design and maintain graph-based data models where appropriate.
Support Entity Matching pipelines and related data structures.
Collaborate closely with AI and Data Science teams to enable reliable data consumption for AI applications.
Provide technical guidance and promote data engineering best practices across the team.
Participate in Agile ceremonies and contribute to continuous improvement initiatives.

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