We're a cross-functional systems engineering team delivering scalable, secure, and elegant solutions across web and mobile platforms. Our work spans early-stage startups to enterprise environments — and our mission is simple: solve real problems through deep collaboration, lean execution, and smart strategy.
At ResultStack, we're not just building software — we're building partnerships. That means listening closely, moving quickly, and always prioritizing long-term value over short-term fixes.
We're hiring a Data Engineer with strong Snowflake experience to support upcoming client projects across a range of industries. In this fully remote role, you'll design and optimize secure, scalable data pipelines and cloud data warehouse solutions. It's ideal for someone who thrives in fast-moving environments, values clean architecture, and collaborates well across both technical and non-technical teams.
Design, implement, and manage scalable data pipelines using Snowflake and modern cloud tools
Collaborate with internal and client teams to gather data requirements and deliver actionable solutions
Optimize Snowflake environments for performance, scalability, and cost
Partner with product, analytics, and engineering teams to deliver clean, timely data
Support data governance, security, and privacy standards across all engagements
2+ years of hands-on experience with Snowflake (not just exposure)
Strong SQL skills and familiarity with ETL/ELT frameworks
Experience working with cloud platforms such as AWS, GCP, or Azure
Bonus: Experience with dbt, Fivetran, Airbyte , or similar tools
Excellent communication skills and ability to work cross-functionally in a fully remote setting
Extra credit: Experience supporting analytics in privacy-first or Clean Room environments
Remote-first culture with flexibility and trust
Meaningful, diverse, and technically challenging client projects
A collaborative team that values transparency, autonomy, and ownership
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