At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Senior Analytics Engineer – Snowflake / SQL at BairesDev In this role, you'll consolidate messy, multi-source vulnerability data into clean, query-ready models using Snowflake, then surface risk metrics and dashboards that different audiences can actually use. Working with very large datasets, you'll apply advanced SQL to answer business-aligned questions. This is your opportunity to be the SQL expert who turns complex, heterogeneous data into trustworthy metrics, working at a scale where performance tuning genuinely matters.

What You'll Do
• Write advanced SQL at scale, including window functions, CTEs, and performance tuning on multi-million-row datasets.
• Build ELT pipelines and data models to consolidate heterogeneous vulnerability data into query-ready structures.
• Design BI dashboards and semantic layers tailored to executive, operational, and engineering audiences.
• Use Snowflake-native features for near-real-time ingestion and historical analysis.
• Monitor data quality and pipeline telemetry as part of ongoing DataOps practices.
• Define and defend risk, severity, and SLA metrics. What We Are Looking For




• 5+ years of experience in analytics or data engineering.
• Strong expertise in Snowflake for data and analytics engineering.
• Advanced SQL skills at scale, including window functions, CTEs, and performance tuning on very large datasets.
• Experience with ELT and data modeling, consolidating heterogeneous data into clean, query-ready models.
• Experience with BI, dashboarding, and semantic-layer design for different audiences.
• Experience with Snowflake-native features such as streams, dynamic tables, time travel, or materialized views.
• Background in data quality, telemetry, and pipeline monitoring.
• Experience defining and validating metrics such as risk, severity, or SLA metrics.
• Advanced proficiency in English. Nice To Have
• Vulnerability management domain knowledge, including CVSS, EPSS, KEV, or mean-time-to-patch.
• Proficiency in Python for analytics and automation.
• Familiarity with AI/LLM-assisted analytics tooling.
• Financial services or regulated-industry experience. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the general Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now

📌 Senior Analytics Engineer – Snowflake (Santiago)
🏢 BairesDev
📍 Santiago