Senior Analytics Engineer

Company Overview

is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with  once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with  at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations.

More than 600+ consumer brands use  to verify communities and user segments to honor service and build more authentic relationships. ’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative.  is committed to “No Identity Left Behind” to enable all people to have a secure digital identity.

To learn more, visit (Use the "Apply for this Job" box below)..

is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA;
Mountain View, CA;
New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.

At , we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here.

TITLE: Senior Analytics Engineer

EMPLOYER: , LLC (formerly known as: , Inc.)

LOCATION: Mountain View, CA

Support our data infrastructure which includes Snowflake, dbt, Sigma, and GCP services. Educate the organization on analytical approaches to drive business decisions. Research, design, and implement best practices in managing data platforms. Partner with data analysts, engineers, and scientists to build reusable data infrastructure, analytics, dashboards, and models. Lead transformational efforts to build a data driven culture at  by enabling data self-service.

Provide technical guidance, mentorship, coaching and/or training to data analysts.

REQUIREMENTS: Bachelor's degree or equivalent in Computer Science, Analytics, Engineering, Math, Physics, Statistics, or related quantitative field and five (5) years of progressive, post-baccalaureate experience as a Senior Analytics Engineer or any occupation related to database architecture.

• Must have five (5) years of experience with:
  Data Analytics and SQL.
• Must have three (3) years of experience with:
  Data Warehousing technologies such as Snowflake, Redshift, or Bigquery.
• Must have three (3) years of experience with:
  Building transformational data models in dbt (Data Build Tool) and Snowflake.
• Must have three (3) years of experience with:
  Implementing best practices in SQL modeling.
• Must have three (3) years of experience with:
  Automating and integrating code changes and updates in CI/CD frameworks.
• Must have three (3) years of experience with:
  Developing data architecture and design.
• Must have three (3) years of experience with:
  Utilizing visualization/reporting tools including Sigma, Tableau, or Looker.

All offers of employment are contingent upon the successful completion of a background check and successfully passing assigned AI proficiency testing.

Travel required up to 10% of the time to 's office locations and conferences within the U.S.

Salary: $225,000 per year

To apply:

Select “Apply” on this page and follow the prompts to attach resume and submit.

JOB CODE: ID200

maintains a work environment free from discrimination, where employees are treated with dignity and respect. All  employees share in the responsibility for fulfilling our commitment to equal employment opportunity.  does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave,…