Staff Data Engineer Job at Tonal (San Francisco)

Staff Data Engineer

Tonal

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

200000.00 - 235000.00 USD / Year

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Job Description:

As a Staff Data Engineer, you will shape the backbone of Tonal’s data platform. You’ll 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.

Job Responsibility:

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
Known for technical leadership and mentoring, raising the bar for engineering quality

Nice to have:

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

What we offer:

Offers Equity
health insurance
retirement savings benefits
life insurance and disability benefits
flexible paid time off
parental leave
and other additional benefits (location dependent)

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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