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FullStack
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Senior Data Engineer (SnowFlake + AI) - Remote - Latin America
Argentina
· Full-time
·
Mid-Senior
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
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior Data Engineer (SnowFlake + AI).
Learn more about our Applicants Privacy Notice.
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.
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.
- 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 enablement.
- Experience collaborating with stakeholders to refine business logic and data definitions.
- Ability to work through new and difficult issues and contribute to libraries as needed.
- Ability to create and maintain continuous integration and delivery of applications.
- Forensic attention to detail.
- A positive mindset and a can-do attitude.
- Experience working on Agile / Scrum teams.
- Meaningful experience working on large, complex systems.
- Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
- Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
- Ability to consistently work 40 hours per week.
- Competitive pay.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Continuing education opportunities.
- Opportunity to grow and expand your career.
Learn more about our Applicants Privacy Notice.
Key Skills
Ranked by relevance
continuous integration
data warehousing
scrum
sql
ai
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- Posted
- Feb 11, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- La Plata
- Company
- FullStack
Industries
IT Services
IT Consulting
Computer
Network Security
Information Services
Categories
Information Technology
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