Senior Data Engineer Job at Mindbody

Senior Data Engineer

Mindbody

Location:
Brazil

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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. The Role You’ll Play: As a Senior Data Engineer, you’ll shape the backbone of our data strategy—designing scalable pipelines, championing governance, and enabling AI-ready infrastructure. You’ll lead cross-functional projects that fuel analytics, automation, and decision-making across the Playlist ecosystem. Your work will directly empower our teams to create personalized, real-world experiences for millions of users.

Job Responsibility:

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

Additional Information:

Job Posted:
January 01, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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