vanta - Senior Analytics Engineer
Responsibilities
• 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. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). • Bring a system-oriented and software engineering mindset to the Analytics 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. • Must be authorized to work in the U.S. without the need for current or future employer sponsorship. • 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 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
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! • Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney • To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials.
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