BI Engineer

Join Sharecare's fast-moving data team as a Business Intelligence (BI) Engineer. This is a contract position with remote flexibility, ideally suited for candidates in Mexico or South America time zones.

**About Sharecare & The Team:**
We foster a startup culture focused on execution, minimizing unnecessary meetings. You'll have the opportunity to collaborate with world-class engineers, including alumni from institutions like MIT and companies like Yahoo and Amazon.

**Role & Responsibilities:**
We are looking for a skilled BI Engineer to contribute to building clean and meaningful data experiences. Key responsibilities include:
*   Designing, developing, and maintaining robust BI solutions using Looker Studio.
*   Creating insightful dashboards and data visualizations.
*   Modeling data within Looker Studio for optimal performance and usability.
*   Working extensively with Google BigQuery for data querying, analysis, and optimization.
*   Writing complex SQL queries, including joins and window functions, and tuning them for performance.
*   Handling and integrating non-relational data sources.
*   Documenting data warehouse architecture and data models.
*   Utilizing Git/GitHub for version control and collaboration.

**Required Skills & Experience:**
*   Expert proficiency in SQL, encompassing complex joins, window functions, and performance optimization techniques.
*   Strong practical experience with Google BigQuery.
*   Proven expertise in Looker Studio, covering data modeling through to dashboard creation ("Looker Studio wizard").
*   Comfort and experience working with non-relational data structures.
*   Ability to clearly document data warehouse architecture.
*   Fluency with Git and GitHub workflows.
*   Excellent communication skills in English (both written and spoken).
*   Minimum of 3 years of hands-on experience working directly with BigQuery and Looker (or Looker Studio).

**Ideal Candidate:**
You thrive in fast-paced, dynamic environments and have a passion for transforming raw data into actionable insights and user-friendly data experiences.

If this sounds like you, let’s talk.