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Vanta is a SaaS company focused on compliance and security. Its trust management platform automates key workflows for achieving and maintaining standards such as SOC 2, ISO 27001, and GDPR, helping organizations manage security programs as they grow. The platform connects with more than 375 tools and supports processes including security questionnaire automation and vendor risk management. Vanta also helps service providers and auditors deliver more efficient compliance experiences, making it easier for businesses to demonstrate trust to customers and partners.
Senior Analytics Engineer at Vanta (Remote, United States)
Build the analytics foundation behind Vanta’s trust-management platform. Develop scalable data models, SQL workflows, and AI-ready systems for enterprise analytics.
Description
- Create and maintain sophisticated data models supporting dashboards, self-service analytics, and data science teams
- Develop optimized, scalable SQL for large and varied data warehouse environments
- Support AI applications through semantic modeling and robust observability
- Establish and promote effective practices across analytics teams
- Strengthen the data infrastructure that powers informed business decisions
- Contribute to front-end applications that make analytical datasets available across the enterprise
- Partner with Product and Corporate Engineering teams to organize source systems for enterprise reporting
Requirements
- Bring at least eight years of data experience, including two years in software engineering or a closely related discipline
- Have experience with standard analytics tools, including required hands-on experience with dbt
- Be familiar with Stitch or Fivetran, Snowflake, BigQuery or Redshift, Airflow or Dagster, and Looker, Mode, or Sigma
- Apply a systems-focused approach grounded in software engineering principles
- Demonstrate strong expertise in designing dimensional and fact models for modern data platforms
- Care deeply about improving the developer experience for data users
- Be motivated to advance security, anonymization, and compliance practices in data warehousing
- Be authorized to work in the United States without current or future employer sponsorship
- Be willing to use AI thoughtfully to extend capabilities, learn continuously, and apply sound judgment
Benefits
- Equity participation
- Comprehensive medical, dental, and vision coverage, including full employee-only premium coverage for most medical plans
- Sixteen weeks of paid parental leave for every new parent
- Health and wellness stipend
- Stipends for remote workspace, internet, and cellphone expenses
- Commuter benefits for employees working from the San Francisco or New York City offices
- Family planning support
- 401(k) matching with immediate vesting
- Flexible paid time off and 80 hours of sick leave
- Eleven company-paid holidays
- Virtual team activities, lunch-and-learn sessions, and other company-wide events
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