Senior Data Engineer - Remote

Overview

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections.

Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.

In Short

• Architect and optimize cloud-native data warehouse solutions that power real-time decisions and long-term strategy
• Design and scale dbt models across bronze/silver layers with a focus on data contracts, observability, and semantic consistency
• Build and maintain robust ETL/ELT pipelines using tools like Fivetran, Snowpipe, and CDC to support streaming and batch workloads
• Lead the design of infrastructure-as-code deployments with Pulumi or Terraform, driving CI/CD maturity and cost-efficient operations
• Elevate data quality with comprehensive monitoring, anomaly detection, and validation frameworks
• Collaborate across squads to align data contracts, expand shared data marts, and support machine learning enablement
• Champion data governance, ensuring privacy and compliance through PII tagging, lineage, and role-based access controls
• Drive continuous platform improvement through systematic tech debt remediation and modernization initiatives

Requirements

• Strong expertise in data engineering, platform architecture, or modern data warehousing
• Deep expertise in Snowflake (Snowpark, Streams, Tasks, Data Sharing) and strong SQL/dbt fluency
• Proficient in Python for automation, transformation logic, and data platform development
• Experience implementing observability standards, anomaly detection, and data quality validation
• Skilled in managing complex, multi-squad initiatives with a clear track record of driving scalable outcomes
• Hands-on knowledge of Airflow, Atlan, and infrastructure as code (Pulumi or Terraform)
• A strong grasp of data modeling principles and architecture patterns like star schema and bronze/silver/gold layering
• Comfortable mentoring engineers, influencing technical roadmaps, and advocating for best practices

Benefits

• Join a company that values diversity and encourages people from all backgrounds to apply
• Opportunity to work in a culture driven by innovation and curiosity
• Be part of a team that is reshaping technology's role in wellness