Senior Analytics Engineer

Salary

$225,000

Location

Mountain View, CA

Posted

Today

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 ID.me 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: (1) Data Analytics and (2) SQL.

Must have three (3) years of experience with: (1) Data Warehousing technologies such as Snowflake, Redshift, or Bigquery; (2) Building transformational data models in dbt (Data Build Tool) and Snowflake; (3) Implementing best practices in SQL modeling; (4) Automating and integrating code changes and updates in CI/CD frameworks; (5) Developing data architecture and design; (6) 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

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

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