Tonal is the smartest home gym and personal trainer. With cutting-edge hardware AI-driven coaching and the worlds largest dataset of real-world strength training were redefining how people train. Our platform combines data from millions of workouts sensors and integrations to deliver personalized training enhance coaching and measure progress in entirely new ways.
Were passionate about transforming lives through strength performance and health. At Tonal innovation science and data come together to create a training experience thats personal motivating and measurable.
As a Staff Data Engineer you will shape the backbone of Tonals data platform. Youll design and scale systems that bring together massive volumes of workout sensor and health-related data while ensuring security reliability and trust. This role requires a deep understanding of compliance and security standards and the ability to build infrastructure that protects sensitive information while fueling product innovation AI and analytics.
Architect secure and scalable data systems that support Tonals growth and meet regulatory standards.
Build and optimize data models and pipelines across diverse sources: sensors workouts health integrations CRM payments and content.
Establish controls for access encryption anonymization monitoring and auditability.
Define and enforce best practices for managing sensitive data including PHI and PII.
Collaborate with teams across Product Engineering Sports Science and Healthcare to translate needs into compliant solutions.
Conduct risk assessments and implement safeguards guided by NIST frameworks.
Support SOC 2 audits by documenting and demonstrating effective security controls.
Mentor engineers and scientists setting high standards for secure data engineering.
Continuously evolve the platform introducing new tools and frameworks to balance innovation with strong regulatory posture.
8 years of experience in data engineering or 6 years with a Masters degree (or equivalent).
Strong skills in SQL Python and distributed data processing (Spark Databricks or similar).
Experience building pipelines with DBT Airflow Fivetran or related tools.
Background in data modeling and warehousing with systems like Snowflake Databricks or Redshift.
Hands-on experience working with regulated environments and sensitive data.
Familiarity with frameworks such as HIPAA SOC 2 and NIST for security and compliance.
Skilled in access control design audit logging encryption and governance.
Excellent communicator who can explain complex tradeoffs to both technical and non-technical audiences.
Known for technical leadership and mentoring raising the bar for engineering quality.
Experience with fitness healthcare IoT or sensor data.
Knowledge of privacy-preserving techniques (k-anonymity l-diversity differential privacy).
Exposure to production ML/AI pipelines involving sensitive data.
Background in connected fitness digital health or regulated healthcare products.
At Tonal we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We dont just appreciate differences we celebrate them and we always seek people that represent a wide variety of backgrounds. Were dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what were looking for (even if you dont check every single box) send us your application. We would love to hear from you!
Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence dignity integration and equality of opportunity. Should you have any accommodation requests please reach out to us via our confidential email All requests will be addressed and responded to in accordance with Tonals Accessibility Policy and local legislation.
Required Experience:
Staff IC
Transform your workouts with Tonal, the leader in smart home gym equipment. Get AI-powered training and full-body workouts in a sleek, space-saving design.