Senior Data Engineer

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Data Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our engineering team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. Visit our Vanta Engineering Blog https://www.vanta.com/all-categories/engineering to learn more about what our team is working on! What you’ll do as a Senior Data Engineer at Vanta: - 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 How to be successful in this role: - 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.

• 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.

• Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.

• Highlight concrete projects where you built end‑to‑end pipelines using Airflow/Dagster and dbt; include metrics on data latency or query performance.
• Showcase any Terraform modules or AWS data services you’ve provisioned; a GitHub repo or code snippet adds credibility.
• Prepare to discuss how you’ve implemented data security or anonymization controls in past roles; Vanta values compliance expertise.
• During interviews, demonstrate a software‑engineer mindset: talk about testing, version control, and code reviews for data code.
• When negotiating, reference the equity component and remote‑work stipend as part of the total compensation.
• Watch for vague promises about “flexible hours” without clear remote‑work support; ask about the stipend amounts and equipment policies.