Data Engineer

Job Summary

To contribute to the development and maintenance of a Snowflake-based data ecosystem, the full-time Data Engineer will implement scalable ELT pipelines, production-grade data models, and observability frameworks while collaborating with cross-functional teams in a remote environment.

Key responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake
• Implement data models to support analytics, BI, and ML use cases while ensuring data quality standards
• Collaborate with Analytics, Product, and Engineering teams to translate business requirements into reliable data solutions

Required qualifications

• Degree in Computer Science, Engineering, or a related technical field
• 5+ years of hands-on experience in data engineering, particularly with production-grade pipelines
• 3+ years of experience working directly with Snowflake in a production capacity
• Advanced proficiency in SQL and at least one programming language (Python preferred)
• Experience with version-controlled, CI/CD-driven data pipeline development (e.g., dbt + GitHub Actions)