Staff Data Engineer

Vanta

1d•Remote

About The Position

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. At Vanta, our mission is to secure the internet and protect consumer data. 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. Our Data and Analytics team is currently looking for a Senior Data Engineer to join us! 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.

Requirements

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

Responsibilities

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