Staff Data Engineer

Job not on LinkedIn

November 20

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $200k - $235k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Tonal

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B2C • Fitness • Hardware

Tonal is a cutting-edge home gym system that combines technology and exercise science to offer a personalized and efficient workout experience. It provides real-time resistance adjustments and data-driven coaching to help users maximize their fitness routine. With expert coaching, personalized tracking, and a variety of energizing workouts, Tonal aims to promote strength training and overall fitness from the convenience of home. This smart gym system uses AI to deliver insights and tailor workouts, ensuring users are always challenged and motivated to improve their physical health.

501 - 1000 employees

👥 B2C

🔧 Hardware

📋 Description

• Architect secure and scalable data systems that support Tonal’s 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.

🎯 Requirements

• 8+ years of experience in data engineering, or 6+ years with a Master’s 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

🏖️ Benefits

• Health insurance • Retirement savings benefits • Life insurance • Disability benefits • Flexible paid time off • Parental leave