Senior Data Engineer

Mission + People + Culture With a corporate Mission to stop disease through technology, InductiveHealth is the market leader in software-as-a-service (SaaS) solutions to public health agencies. Our People come from all backgrounds and walks of life ranging from world class experts in epidemiology, informatics, and disease surveillance to engineers and product teams building high performance, modern solutions. Mission + People are unified around a virtual first Culture centered around teamwork, relentless focus on client outcomes, and individual accountability. Why work at InductiveHealth? 1. Motivation : We value initiative-takers and self-starters who want to contribute to the success of our Team and client outcomes. 2. Curiosity : Seeking to understand and comprehend is critical - we expect and encourage questions to master job duties and grow professionally. 3. Organization : We are a Team. This means we hold each other accountable and have high expectations for performance and outcomes. 4. Feedback : \"Open and honest\" is part of our corporate values that builds a culture of professional growth to support client success. 5. Impact : Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes. 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 $125,000 - $135,000 a year Benefits and Perks Virtual first, remote organization and culture Flexible Paid Time Off (PTO) 401(k) retirement plan with corporate matching Medical, prescription, vision, and dental coverage (multiple plans based on your needs) Short Term and Long Term Disability (for employee) Life Insurance (for employee) New Team Member support for home office setup About InductiveHealth: InductiveHealth ( was co-founded by Matthew Dollacker and Stephen Macauley in 2013. Today, InductiveHealth is headquartered in Atlanta, Georgia and has over 80 team members across the United States supporting state, tribal, local, and territorial (STLT) public health agencies in addition to Federal agencies such as the Centers for Disease Control and Prevention (CDC). In early 2021, InductiveHealth became the exclusive commercial partner of Johns Hopkins University Applied Physics Laboratory (JHU/APL) for the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) syndromic surveillance solution. To accelerate growth in the wake of the COVID-19 pandemic, InductiveHealth become a portfolio company of Diversis Capital ( in early 2022. All responses to applications will come from View email address on click.appcast.io or from the domain @inductivehealth.com. InductiveHealth is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, or disability. #J-18808-Ljbffr InductiveHealth Informatics, LLC.