Senior Data Engineer

Vanta

Senior Data Engineer designing data infrastructure at Vanta to support analytics functions. Collaborating closely with engineering and business teams to ensure data-driven decision-making solutions.

Posted 7/8/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

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

Have at least four 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. Stitch/Fivetran, Snowflake/BigQuery/Redshift, dbt, Airflow, Dagster).
Have good working knowledge of AWS data infra systems and Terraform.
Bring a system-oriented and software engineering mindset to the Data Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries
Deep knowledge of crafting dimensional and fact models in modern data fashion
Have a 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
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.

Benefits

Comp & perks

Industry-competitive salary and equity
100% covered medical, dental, and vision benefits with dependents coverage
Pension contribution
16 weeks fully paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Flexible work hours and location
21 days of Vacation Time and 80 hours of Sick Leave
11 company-paid holidays
Virtual team building activities, lunch and learns, and other company-wide events!

ATS Keywords

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Hard Skills & Tools

SQLData OrchestrationData ManagementDimensional ModelingFact Modeling

Soft Skills

CuriosityProblem-SolvingCollaboration