Reporting Engineer - Hybrid / Remote
Indexed description
- Hybrid for candidates in Nashville and surrounding areas.
- Remote option available for candidates outside of surrounding areas.
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.
Key Responsibilities
- Modeling & Report Engineering
- Design and implement Power BI semantic models (Import, Direct Lake, DirectQuery, and Composite) aligned with star schema and dimensional modeling best practices
- Author robust DAX, including calculated columns, measures, and calculation groups, with careful management of filter context, row context, and time intelligence (e.g., role-playing dates)
- Build enterprise-grade dashboards and reports in Power BI Service with emphasis on usability, accessibility, and consistent KPI definitions
- Implement incremental refresh, aggregations, and hybrid tables to support large-scale datasets
- Performance & Scale
- Optimize models through tuning of cardinality, relationships, encoding, partitioning, and aggregation strategies to meet report performance SLAs
- Design solutions that scale across Power BI capacities (Fabric/F capacities, autoscale, and load management) using usage-driven optimization
- Governance, Security & Compliance
- Implement and manage Row-Level Security (RLS) and Object-Level Security (OLS) aligned with least-privilege access and separation of duties
- Enforce HIPAA-compliant handling of PHI, including masking, minimization, and retention controls across development, test, and production environments
- Integrate with Microsoft Purview for lineage, glossary, and classification; document and certify datasets and metrics
- Define and operationalize KPIs and metric definitions within the semantic layer to ensure consistency across reporting products
- Data Sources & Platform Integration
- Partner with data engineering to source data from Azure Fabric and Lakehouse platforms, Azure Synapse, Azure SQL, Databricks/Delta Lake, Snowflake, and on-premises SQL via On-Premises Data Gateway
- Build parameterized Power BI Dataflows and Dataflows Gen2 (where applicable) to support reusable transformations aligned with medallion (bronze/silver/gold) datasets
- Support integration of healthcare data standards including FHIR R4, HL7 v2, and X12 (837/835) into the semantic model for payer and provider analytics use cases (e.g., denials, length of stay, readmissions, quality measures)
- Release Engineering & Observability
- Implement CI/CD practices for Power BI, including Git-enabled workspaces, deployment pipelines, pull request-based reviews, Tabular Editor scripting, and automated best practice analysis (BPA)
- Monitor refresh SLAs, gateway health, query performance, capacity utilization, and usage analytics; drive proactive performance tuning and cost governance
- Establish standards for versioning, certification, and deprecation of datasets and reports; maintain clear and durable documentation
- Stakeholder Enablement
- Translate clinical, operational, and financial metrics into well-defined technical measures in collaboration with subject matter experts (Finance, Quality, Care Management, Revenue Cycle)
- Develop reusable report templates, themes, and field parameter patterns to accelerate governed self-service analytics
- Provide enablement and guidance to analysts on DAX patterns, semantic modeling techniques, and performance anti-patterns
- 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
- 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
- Comprehensive health, dental, and vision insurance
- Health Savings Account with an employer contribution
- Life Insurance
- PTO
- 401(k) retirement plan with a company match
- And more!
- If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.
- No Recruiters Please
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