Senior Data Engineer (SnowFlake + AI) - Remote - Latin America
Company: FullStack
Location: Chiclayo, Lambayeque (Remote)
Type: Full-time
Level: lead
Remote: Yes
Posted: 2026-03-03
About this role
About FullStack
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
We’re Most Proud Of
- Offering life-changing opportunities for talented software professionals across the Americas.
- Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
- Our 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
The Opportunity
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior Data Engineer (SnowFlake + AI).
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
What We're Looking For
- 5+ years of professional experience as a Data Engineer.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Hands-on experience with Snowflake, including Snowflake Cortex and AI-related features.
- Experience building semantic models or data abstraction layers to enable business-friendly analytics.
- Strong SQL skills, with a solid understanding of query generation and optimization.
- Experience designing orchestration or instruction layers to guide AI/LLM behavior.
- Ability to translate business context into structured data logic and models.
- Experience implementing or supporting conversational analytics or chatbot solutions.
- Familiarity with LLMs and prompt or instruction engineering techniques.
- Background in data warehousing, analytics engineering, or BI en...