Applaudo Studios
Senior Data Engineer (AI Data Platform)
Remote Data Engineer role with clear candidate location fit.
PostedJul 23, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Brazil
Role overview
Senior Data Engineer (AI Data Platform)
Requirements and responsibilities
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Details
- 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).
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 Bring to Applaudo the Following Competencies:
- 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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