# Senior Analytics Engineer

**Company:** [Vanta](https://hotfix.jobs/companies/vanta)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $157k – $185k/yr
**Experience:** 4+ years
**Skills:** SQL, dbt, Snowflake, BigQuery, Redshift, Airflow, Dagster, Looker, mode, Sigma, stitch, Fivetran, Data Modeling, semantic layers
**Posted:** 2026-07-30

> 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.

## Job Description

## 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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