Staff 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.

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