Senior Analytics Engineer

Remote · Full-time · Remote · Posted Oct 1, 2026

At a glance

We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged.
Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.
Referral Instructions
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As a Senior Analytics Engineer at Vanta, you will lay the foundation for a best-in-class analytics function.
You will partner closely with the data science team and business stakeholders to ensure the analytics stack and processes meet business needs.

Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams.
Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses.
Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices.
Manage and improve data infrastructure needed to drive data-driven decision-making solutions.
Help develop front end applications to expose analytical data sets enterprise wide.
Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise.

Have at least eight years of experience working with data and two years of experience in Software Engineering or a related field.
Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma).
Bring a system-oriented and software engineering mindset to the Analytics Engineering practice.
Deep knowledge of crafting dimensional and fact models in modern data fashion.
Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
Open to using AI to amplify their skills and strengthen their work.

Industry-competitive salary and equity
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits
Matching 401(k) contribution with immediate vesting
Flexible PTO policy, plus 80 hours of Sick Time
11 company-paid holidays