Staff Analytics Engineer, Databricks (R5493)

The Staff Analytics Engineer owns the Gold layer and enterprise semantic layer of the Databricks lakehouse, where clean and governed Silver-layer data becomes trusted, business-ready models, KPIs, and semantic assets. This role translates approved business definitions into auditable transformation logic and durable analytics models that can be used consistently across multiple domains.

This role is expected to go beyond technical model building. The Analytics Engineer must understand the business meaning of the data being modeled, the operational context behind key metrics, and the classification or usage constraints that affect how data can be exposed, joined, governed, and consumed in a regulated environment.

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Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

 

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

 

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

 

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.