Senior Data Engineer

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Vanta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

📋 Compliance

🔐 Security

☁️ SaaS

💰 $40M Series B on 2022-10

Compliance • Security • SaaS

Vanta is a trust management platform that streamlines compliance workflows and enhances security programs for businesses. By leveraging automation, Vanta helps companies achieve and maintain compliance with frameworks like SOC 2, ISO 27001, and GDPR. It offers solutions for companies of all sizes, from startups to enterprises, ensuring security and compliance at scale. With integrations with over 375 tools, Vanta leverages AI to simplify tasks such as questionnaire automation and vendor risk management. Vanta empowers service providers and auditors to deliver efficient and satisfactory experiences, helping businesses build trust with their clients and partners.

📋 Description

• 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

🎯 Requirements

• 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. Stitch/Fivetran, Snowflake/BigQuery/Redshift, dbt, Airflow, Dagster). • 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.

🏖️ Benefits

• Industry-competitive salary and equity • 100% covered medical, dental, and vision benefits with dependents coverage • Pension contribution • 16 weeks fully paid Parental Leave for all new parents • Health & wellness stipend • Remote workspace, internet, and cellphone stipend • Flexible work hours and location • 21 days of Vacation Time and 80 hours of Sick Leave • 11 company-paid holidays • Virtual team building activities, lunch and learns, and other company-wide events!