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Mindbody Logo Mindbody · IT - Software Development

Data Engineer Specialist

Brazil · Job Posted January 01, 2026
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Job Description

As a Data Engineer Specialist, 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
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