Reporting Engineer - Hybrid / Remote

Reporting Engineer - Hybrid / Remote Opportunity

Hybrid for candidates in Nashville and surrounding areas.

Remote option available for candidates outside of surrounding areas. 

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.

Key Responsibilities

1) 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

2) 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

3) 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

4) 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)

5) 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

6) 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

Required Qualifications

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

Preferred Qualifications

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

Benefits:

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! 

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.

*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