Staff Data Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Staff Data Engineer (AI/Snowflake): Architecting and leading the data foundation for a client experience platform with an accent on scalable data products, ML capabilities, and AI-driven innovation. Focus on designing foundational data models, implementing Snowflake data sharing, and deploying predictive analytics to enhance product intelligence.
Location: Remote (Must be based in the USA)
Salary: $160,000 - $207,400
Company
provides a client experience platform specifically designed for appointment-based, self-care businesses like salons and spas.
What you will do
- Architect and lead the data foundation, owning the data platform, visualization, and advanced machine learning capabilities.
- Design and maintain foundational data models that serve as the single source of truth for internal and external stakeholders.
- Partner with Product and Engineering teams to deliver customer-facing reporting, dashboards, and analytics features.
- Implement secure and performant Snowflake data sharing solutions to empower customers.
- Develop and deploy ML solutions for recommendations, forecasting, anomaly detection, and predictive insights.
- Optimize data models and query performance to ensure fast, reliable, and intuitive analytics experiences.
Requirements
- 7+ years of professional experience in Data Engineering.
- Deep expertise with the modern data stack: DBT, Snowflake, SQL, Python, and BI tools (e.g., Looker, Omni).
- Proven track record of delivering data products and platform capabilities in partnership with Product teams.
- Strong understanding of modular data modeling and reusable best practices (star and snowflake schemas).
- Comprehensive knowledge of data governance, data quality frameworks, and security best practices.
- Must be based in the USA.
Culture & Benefits
- 401(k) match plus dental, medical, vision, and life insurance.
- Flexible vacation day policy.
- Fully remote work environment with a monthly work-from-home stipend.
- Equity opportunities to grow with the company.
- Bucks Learning and Development program for market exploration.
- Family planning resources and specialized support programs.
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