Senior Data Engineer (AI Data Platform)
RemoteBrazil
BrazilRemoteFull TimeSenior LevelTECHMedium
Full TimeSenior LevelMediumTECH
Job Summary
Design, build, and maintain scalable data architectures and models using Medallion Architecture principles. Develop and optimize ETL and data ingestion pipelines with Snowflake, dbt, and Dagster. Manage cloud-based storage on AWS S3 and support entity matching pipelines. 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 while participating in Agile ceremonies. This 6-month temporary opportunity requires 5+ years of experience and strong proficiency in SQL, PostgreSQL, and Supabase.
Required Qualifications
- 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)
Desired Qualifications
- Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related field is desired, or equivalent professional experience
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