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# Middle Analytics Engineer (ThoughtSpot Focus)

- **Company:** The Lever Group LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Query Performance, Sql Data Warehouse, Data Analysis, Big Data, BigQuery, Cloud Computing, Code Review, Information Engineering, Data Governance, Data Warehousing, Database Queries, Software Debugging, Logical Data Models, OpenID, Cloud Services, Security Assertion Markup Language (SAML), Systems Integration, Workflow Management Systems, Cloud Platform System, Snowflake, Data Lakes, Star Schema, Databricks
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=05dc0ceab25eaf7d

## About the Role

Do you have experience in Schema design?, * 3+ years in Data Engineering or BI/Analytics.

 * Hands-on experience with ThoughtSpot: understanding of how to build Worksheets, TML files, and logical data models.
 * Strong SQL skills: ability to write and debug complex analytical queries.
 * Security knowledge: Experience managing users, groups, and SSO integrations (SAML/OIDC) in any BI or Data tool.
 * Good communication skills to explain data concepts to non-technical users.

nice-to-have skills:

 * Experience with Modern Data Stack: Cloud Data Warehouse (Snowflake, Databricks, or BigQuery) + dbt
 * Cloud vendors certificates, o Experience building and maintaining ThoughtSpot Worksheets, Views, and the semantic layer (TML).
o Strong understanding of data modeling (star schema) in Snowflake and/or Databricks.
o Ability to optimize search experience (synonyms, keywords, drill paths).
o Experience managing Access & Identity, including Auth Provider integrations and SSO.
o Knowledge of data governance, including Row-Level Security (RLS) based on IdP groups and attributes.
o Experience monitoring platform usage, query performance, and driving analytics adoption.

## Description

* Work with a modern lakehouse stack: Databricks, Delta Lake, dbt, orchestration tools, and cloud services
 * A collaborative engineering culture with strong code review practices and knowledge sharing
 * The opportunity to grow together with our Data Engineering practice and influence its development
 * Participation in complex projects such as migrations, platform modernization, and large-scale data initiatives
 * Flexible environment, autonomy in problem-solving, and support for professional development (certifications, courses, conferences)


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