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Data Science & Analytics 10h ago

Senior Data Engineer

United StatesUnited States
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

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SQLBestseller 🔥
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Stitch/FivetranDagsterSnowflake/BigQuery/RedshiftAirflowData ScienceData EngineerTerraformAWSdbt

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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.

Visit our Vanta Engineering Blog to learn more about what our team is working on!

What you’ll do as a Senior Data Engineer at Vanta:

  • 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

How to be successful in this role:

  • 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.

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 fully-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

  • Family planning 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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