Senior Data Engineer
What You'll Be Doing
- Design, build, and maintain paginated reports (RDL) and reporting solutions across Power BI Report Server, Power BI Service, and legacy Crystal Reports, serving as the primary technical resource for their deployment and troubleshooting
- Understand, end to end, how reports and embedded analytics connect into our application — authentication flows, parameter passing between the app and the report, and troubleshooting when something breaks across that boundary
- Write, optimize, and troubleshoot complex SQL queries and stored procedures for reporting, extraction, and application workloads
- Support Python-based tooling for data pipelines and analytics workflows, with growing opportunity to operationalize forecasting or classification model outputs into reporting and decision workflows as our data science work expands
- Automate report generation, scheduling, and delivery wherever possible — treat manual report creation as a signal something should be templated or scripted instead
- Build monitoring for reporting data and queries — quality checks, anomaly detection, and SLAs to catch issues early
- Improve report and query performance through instrumentation and benchmarking
What We're Looking For
- Strong SQL and relational database expertise — writing, optimizing, and troubleshooting complex queries independently
- Experience building Power BI Paginated Reports (RDL) and working across PBIRS, Power BI Service, and Power BI Embed
- Real, hands-on experience embedding these reports into a client-facing application, including authentication, REST API-driven token handling, and broader application integration — enough to trace an issue across the app-to-report boundary and troubleshoot end to end
- Experience supporting enterprise reporting solutions in production environments
- Stays current: proactively tracks changes in the Fabric/Power BI ecosystem rather than relying on knowledge going stale, and specifically watches for improvements in Microsoft's paginated report rendering APIs
What Will Make You Stand Out
- Python experience for data pipelines and analytics tooling, especially experience operationalizing forecasting or classification model outputs into reporting or decision workflows
- Interest or background in applied data science — we're expanding in this direction and want people excited to grow with it
- Experience with healthcare or other high-volume, high-sensitivity, regulated data (e.g., HL7)
- Experience with Azure services supporting reporting and analytics workloads
- Knowledge of PowerShell, Azure DevOps, or CI/CD practices related to report deployment
- Experience adapting reporting or data products across multiple platforms during modernization efforts
- Experience participating in reporting platform modernization or migration initiatives
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