Staff Data Engineer

Staff Data Engineer (Remote)

Boulevard is seeking a Senior Staff Data Engineer to architect and lead the data foundation powering our data products. Join a team that empowers appointment-based, self-care businesses to create magical client experiences. We are a modern, user-friendly platform designed for the unique needs of salons, spas, medspas, barbershops, and more.

About the Role

As a Staff Data Engineer, you will own our data platform, visualization capabilities, advanced machine learning infrastructure, and the systems that enable data-driven decision-making across the company. Reporting to the Director of Data Engineering, you will play a critical role in architecting, designing, developing, and maintaining the data ecosystems and analytics capabilities that power customer-facing products. This senior technical role demands extensive expertise in data architecture, analytics engineering, and practical machine learning applications.

Key Responsibilities

• Data Architecture: Design, build, and maintain foundational data models that serve as the single source of truth for analytics for both internal and external stakeholders.
• Cross-Functional Collaboration: Partner with Product, Engineering, and Analytics teams to scope and deliver new initiatives, develop analytics features, and create data-driven customer experiences.
• Scalable Data Products: Develop frameworks, tools, and workflows that enhance efficiency and scalability, ensuring high standards of data quality, consistency, and performance.
• AI Innovation & Actionable Insights: Translate business requirements into scalable data models, dashboards, and analytical tools. Proactively identify opportunities for anomaly detection, predictive analytics, recommendations, forecasting, and AI-driven innovation.
• Impact-Focused Solutions: Leverage modern analytics and development tools to deliver measurable business value quickly, while maintaining long-term scalability and maintainability.
• Technical Leadership: Lead complex data initiatives by transforming ambiguous business needs into scalable architectures, pipelines, and analytical models that deliver impact.
• Data Modeling & Design: Drive key semantic modeling design decisions that balance current reporting needs with future scalability and adaptability.

Key Projects & Initiatives

• Develop robust customer-facing reporting, dashboards, and analytics features in collaboration with Product Management and Engineering.
• Design and implement secure, performant Snowflake data sharing solutions.
• Oversee data visualization platforms, optimizing data models and query performance.
• Develop and deploy machine learning solutions for recommendations, forecasting, anomaly detection, and predictive insights.

Requirements

• Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related discipline.
• 7+ years of professional experience in Data Engineering.
• Proven track record of delivering data products and data platform capabilities in partnership with Product teams.
• Deep expertise with modern data stack technologies: DBT, Snowflake, SQL, Python, and BI tools like Looker/Omni.
• Strong understanding of modular and reusable data modeling best practices (e.g., star and snowflake schema design).
• Comprehensive knowledge of data governance, data quality frameworks, and analytics/security best practices.
• Excellent problem-solving, communication, and cross-functional collaboration skills, with experience working on global teams.

What We Offer

• A fully remote work environment with a monthly work-from-home stipend.
• Competitive salary with a good-faith estimate for U.S. locations: $160,000 - $207,400 per year (NYC, SF Bay Area, Seattle: $174,500 - $205,000).
• Potential eligibility for a variable compensation program.
• Comprehensive health benefits: medical, dental, vision, and life insurance.
• 401(k) match.
• Flexible vacation day policy.
• Family planning resources and specialized support programs.
• Equity opportunities.
• Boulevard Bucks Learning and Development program.
• The opportunity to work on challenging projects with wonderful people and make a significant impact.