Senior Data Engineer

Vanta

Senior Data Engineer responsible for analytics function at Vanta. Design and deploy data infrastructure to enhance security measures for businesses.

Posted 7/8/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $190,000 - $224,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing and deploying data infrastructure, with a strong focus on data administration, management, and scalable systems. Proficient in writing optimized SQL queries and utilizing analytics tools to enhance data-driven decision-making across the enterprise.

Highest-signal resume keywords

Data Infrastructure DesignSQL Query OptimizationAWS Data SystemsAnalytics Tooling ExperienceData Modeling Expertise

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLData OrchestrationData AdministrationData ManagementDimensional ModelingFact ModelingData WarehousingSoftware EngineeringData Pipeline MaintenanceAI Utilization

Soft Skills

System-Oriented MindsetDeveloper Experience Focus

Tools & Technologies

StitchFivetranSnowflakeBigQueryRedshiftDbtAirflowDagsterTerraform

Industry Keywords

Data ScienceMachine LearningReporting ToolsCDC Pipelines

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSBigQuerySQLTerraform

About the role

Key responsibilities & impact

Design and deploy data infrastructure needed to drive data-driven decision-making solutions
Design and implement complex data orchestration models, modeling metadata, scaling reporting tools for data science and ML products users
Be the company’s expert on data administration, data management and scalable data systems
Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses
Work with the Product and Enterprise Engineering system teams to structure source systems for reporting consumption across the enterprise
Help maintain CDC pipelines to power customer reporting
Help develop front end applications to expose analytical data sets enterprise wide

Requirements

What you’ll need

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 (e.g. Stitch/Fivetran, Snowflake/BigQuery/Redshift, dbt, Airflow, Dagster).
Good working knowledge of AWS data infra systems and Terraform.
A system-oriented and software engineering mindset to the Data Engineering practice.
Deep knowledge of crafting dimensional and fact models in modern data fashion
A passion for enabling the developer experience of data.
Open to using AI to amplify their skills and strengthen their work.

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-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!