Reporting Engineer

Surgery Partners, Inc•Brentwood, TN

47d•Hybrid

About The Position

This is a hybrid position based at our corporate office in Brentwood, TN, with on-site work required Monday through Wednesday. Role Summary This role is responsible for designing, delivering, and operating secure, compliant, and high-performing healthcare reporting solutions at enterprise scale. The Reporting Engineer develops and optimizes Power BI semantic models, authors production-quality DAX, enforces robust security controls, and implements disciplined CI/CD practices for analytics delivery. The role partners closely with data engineering to integrate curated datasets (claims, EHR, FHIR) into a governed semantic layer that supports clinical, operational, and financial decision-making.

Requirements

3–6 years of experience in BI or reporting engineering, with at least 3 years focused on Power BI at scale
Advanced proficiency in: DAX, Power Query (M), Power BI Desktop and Service Tabular Editor and DAX Studio Dimensional modeling patterns, including star schema, role-playing dimensions, calculation groups, and aggregations Power BI security, including RLS/OLS, workspace and app permissions, tenant settings, and data classification
Demonstrated experience delivering reporting solutions on healthcare data such as EHR encounters, claims, authorizations, registries, and quality measures
Strong SQL skills and experience with one or more data platforms: Microsoft Fabric, Azure Synapse, Azure SQL, Databricks/Delta Lake, or Snowflake
Solid understanding of BI DevOps practices, including Git, deployment pipelines, code review, artifact promotion, and testable analytics patterns

Nice To Haves

Experience with Microsoft Fabric, including Direct Lake, OneLake shortcuts, and semantic model governance
Power BI tenant and capacity administration with an emphasis on performance and cost management at enterprise scale
Familiarity with Microsoft Purview lineage, glossary, and sensitivity labeling
Exposure to additional BI or semantic-layer tools (e.g., Tableau, Looker, Sigma, dbt metrics)
Relevant certifications, such as PL-300, DP-500, DP-203, or platform-specific certifications (Databricks, Snowflake)
Knowledge of healthcare data frameworks and programs, including FHIR R4, HL7 v2, X12, HEDIS, STARS, and HIPAA Security and Privacy Rule fundamentals