Design, implement, and maintain scalable data engineering solutions following Agile methodology.
Develop and manage reliable data integrations with external vendors and organizations (including API integrations).
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-quality data solutions.
Take ownership of assigned components and deliverables within larger technical projects.
Contribute to improving the quality, security, efficiency, and scalability of data pipelines and infrastructure.

Bachelor of Science degree in Computer Science or equivalent.
3
5 years of experience building and maintaining ETL/ELT pipelines.
2+ years of Python development experience, including building and maintaining production-grade data services (e.g., FastAPI or similar frameworks).
Strong SQL skills, including performance tuning and query optimization.
Hands-on experience with dbt, including developing models and managing incremental tables.
Practical experience with Snowflake, including data modeling and query optimization.
Experience with AWS data services such as S3, Redshift, Lambda, or similar tools for building and operating data workflows.

Data Engineer

Key skills