Senior Analytics Engineer

Vanta

. Design and implement complex data models for dashboards, self-serve analytics, and data science teams .

Posted 10/2/2026full-timeRemote • United StatesSenior💰 $190,000 - $224,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing complex data models and writing scalable SQL queries for large-scale data warehouses. Proficient in analytics tooling and committed to enhancing data infrastructure for effective decision-making and compliance management.

Highest-signal resume keywords

SQL Query OptimizationData ModelingAnalytics Tooling (dbt)Data Warehousing (Snowflake, BigQuery, Redshift)AI Tooling Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQL Query OptimizationDimensional ModelingFact ModelingData Infrastructure ManagementAnalytics ToolingData WarehousingAI ImplementationSoftware EngineeringData Compliance Management

Soft Skills

CuriosityWillingness to LearnSound Judgment

Tools & Technologies

DbtStitchFivetranSnowflakeBigQueryRedshiftAirflowDagsterLookerMode

Industry Keywords

Data-Driven Decision-MakingSecurity ManagementAnonymizationCompliance ManagementSelf-Serve Analytics

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQuerySQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

At least eight 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
Experience with Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, and Looker/Mode/Sigma
System-oriented and software engineering mindset
Deep knowledge of crafting dimensional and fact models in modern data fashion
Passion for enabling the developer experience of data
Desire to lead the industry in security, anonymization, and compliance management for 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 skills and strengthen work, with curiosity, willingness to learn, and sound judgment in applying AI responsibly

Benefits

Comp & perks

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