Description:

ResultStack is a cross-functional systems engineering team focused on delivering scalable, secure, and elegant solutions across web and mobile platforms.
The company works on projects ranging from startups to enterprises, aiming to solve real problems through collaboration, lean execution, and smart strategy.
The Data Engineer role requires hands-on experience in Snowflake to support client initiatives.
The position involves designing, building, and optimizing secure data pipelines and cloud data warehouse solutions.
The ideal candidate thrives in fast-moving environments, values clean architecture, and enjoys collaborating with both technical and non-technical stakeholders.
Responsibilities include designing, implementing, and managing data pipelines using Snowflake and modern cloud tools, collaborating with teams to understand data requirements, optimizing Snowflake configurations, ensuring clean and timely data delivery, and supporting data governance, security, and privacy standards.

Requirements:

Candidates must have 2+ years of hands-on experience working with Snowflake, not just exposure.
Strong proficiency in SQL and experience with ELT/ETL frameworks are required.
Familiarity with cloud platforms such as AWS, GCP, or Azure is necessary.
Experience with tools like dbt, Fivetran, or similar is a plus.
Strong communication skills and the ability to work in a remote, fast-paced team are essential.
Bonus points for experience supporting analytics in privacy-first or Clean Room environments.

ResultStack offers a remote-first culture with a flexible and collaborative team environment.
Employees have the opportunity to work on diverse and meaningful projects.
The company values autonomy, ownership, and technical excellence among its team members.