Staff Data Engineer

Vanta · Enterprise · U.S. · Remote · Product Analytics

Staff Data Engineer at Vanta responsible for building analytics infrastructure, data models, and reporting tools to support data science and ML products. This role involves designing and deploying data infrastructure, managing master data, developing front-end applications for data exposure, writing SQL queries, and collaborating with product and engineering teams. The ideal candidate has extensive experience in data engineering and software engineering, familiarity with common analytics tooling, and knowledge of AWS and Terraform. A system-oriented mindset and a passion for enabling data accessibility are crucial. The role also emphasizes security, anonymization, and compliance in data warehousing, and is open to using AI responsibly to enhance work.

What you'd actually do

  1. Design and implement complex data models, modeling metadata, building reports and dashboards and creating reporting tools for data science and ML products users.
  2. Design and deploy data infrastructure needed to drive data-driven decision-making solutions
  3. Be the company’s expert on data administration and master data management
  4. Be a technical thought leader on the development of scalable data systems
  5. Develop front end applications to expose analytical data sets enterprise wide

Skills

Required

  • 6+ years of experience working with data
  • 2+ years of experience in Software Engineering or a related field
  • Experience with common analytics tooling (e.g. Stitch/Fivetran, Snowflake/BigQuery/Redshift, dbt, Airflow, Dagster, Looker/Mode/Sigma)
  • Experience leading an implementation of Debezium or another CDC event tracking system
  • Working knowledge of AWS data infra systems and Terraform
  • System-oriented and software engineering mindset
  • Deep knowledge of crafting dimensional and fact models in modern data fashion

Nice to have

  • Experience at Amazon, Facebook, etc a plus
  • Passion for enabling the developer experience of data
  • 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

What the JD emphasized

  • six years of experience working with data
  • two years of experience in Software Engineering or a related field
  • led an implementation of Debezium or another CDC event tracking system
  • good working knowledge of AWS data infra systems and Terraform
  • Deep knowledge of crafting dimensional and fact models in modern data fashion