Collaborate with data scientists, ML engineers, and product teams on data solutions.
Build and maintain data pipelines with dbt, Dagster, Snowflake, Estuary, and Airbyte.
Enable deployments via software integration, supporting DevOps and CI/CD.
Design and operate AWS data infrastructure for scale, performance, and cost efficiency.
Create frameworks and self-service tooling to speed data delivery.

🎯 Requirements

Bachelor’s degree or relevant experience.
5+ years as a software or data engineer in a fast-paced environment.
Proficiency with Snowflake data warehouse and best practices.
ETL, data modeling, version control (dbt, GitHub).
Robust data models ensuring data integrity and clarity for internal/external users.
Knowledge of AWS data ecosystem.
Experience with data extraction tools Estuary and Airbyte.
Python and JavaScript experience.

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