Staff Data & Machine Learning Engineer

Boulevard is a client experience platform for appointment-based, self-care businesses, aiming to empower customers to enhance their client interactions. They are seeking a Senior Data & Machine Learning Engineer to design and scale systems for data and machine learning workloads, collaborating with various teams to develop impactful data solutions.

Responsibilities:

• Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads
• Build and operationalize ML and AI workflows — from development to deployment and monitoring — that streamline operations, reduce manual effort, and improve customer and business outcomes
• Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products
• Implement data quality, observability, and governance frameworks to ensure reliable, well-managed data at scale
• Document data flows, integration contracts, and operational runbooks to support efficient scaling and handoff

Requirements:

• 5+ years of experience in data engineering
• 2+ years of experience building, deploying, or supporting machine learning systems in production environments
• Strong proficiency in SQL and Python, with experience leveraging ML frameworks and AI tooling
• 3+ years of experience working with the modern data stack, including dbt, Snowflake, data streaming technologies, and Looker or Omni
• Strong understanding of semantic layer design, dimensional modeling, and data architecture best practices
• Broad knowledge of data governance, data quality, observability, and analytics/security best practices
• Experience building data products that leverage LLMs, embeddings, forecasting, recommendation systems, or other ML technologies
• Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams
• Experience with Snowflake Cortex is a plus