Senior Analytics Engineer responsible for designing complex data models, building scalable SQL pipelines, enabling AI tooling, and improving data infrastructure to support self-serve analytics, dashboards, and data science at Vanta. Requires 4+ years data experience, software engineering mindset, and expertise with modern analytics tools like dbt.
157k – 185k/yr
Remote4+ YOEData Engineering
About the role
Responsibilities
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.
Requirements
At least four years of experience working with data and two years of experience in Software Engineering or a related field.
Experience with common analytics tooling (dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma).
System-oriented and software engineering mindset to the Analytics Engineering practice. Build frameworks that manage data, and minimize bespoke queries.
Deep knowledge of crafting dimensional and fact models in modern data fashion.
Passion for enabling the developer experience of data, and being obsessed with giving data super powers across the company.
Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing.
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 - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
Compensation and Benefits
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.
Virtual team building activities, lunch and learns, and other company-wide events!
Base pay ranges for all US-based job postings: $157,000 - $185,000.
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