Staff Data Engineer
Vanta
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
About Vanta
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 Staff 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.
What you’ll do as a Staff Data Engineer at Vanta:
- Design and implement complex data models, modeling metadata, building reports and dashboards and creating reporting tools for data science and ML products users.
- Design and deploy data infrastructure needed to drive data-driven decision-making solutions.
- Be the company’s expert on data administration and master data management.
- Be a technical thought leader on the development of scalable data systems.
- Develop front end applications to expose analytical data sets enterprise wide.
- 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 the CDC pipeline to power customer reporting.
How to be successful in this role:
- Have at least six 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, Looker/Mode/Sigma).
- Have led an implementation of Debezium or another CDC event tracking system.
- 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 (experience at Amazon, Facebook, etc a plus).
- 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.
What you can expect as a Vanta'n:
- 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 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!
Key skills/competency:
- Data Modeling
- Data Infrastructure
- SQL Querying
- ETL Pipelines
- Master Data Management
- Cloud Data Warehousing
- CDC Systems
- AWS Data Services
- Data Governance
- Analytics Tooling
How to Get Hired at Vanta
- Research Vanta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience with data modeling, cloud data infrastructure (AWS), and analytics tooling like Snowflake/dbt.
- Showcase data leadership: Emphasize your experience in leading data initiatives, particularly around CDC systems and scalable data architectures.
- Prepare for technical interviews: Practice SQL, data modeling scenarios, and discuss past projects involving large-scale data systems.
- Demonstrate business acumen: Be ready to discuss how your data engineering work directly supports business outcomes and data-driven decision-making.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background