- Company: Get A Job.ai
- Location: United States
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential healthcare technology organization in their search for a Senior Data Engineer. Our client is a mission-driven SaaS company serving public health agencies across the United States. This is a remote position open to candidates located anywhere in the United States.
This role is central to how reporting and analytics integrate into our client's application platform. You'll own the architecture from Power BI paginated reports through their end-to-end connection into production systems, backed by deep SQL and database expertise. This position spans Power BI paginated reporting, Power BI Report Server (PBIRS), Power BI Embedded, and application reporting integrations.
Responsibilities
- 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 deployment and troubleshooting
- Understand end-to-end how reports and embedded analytics connect into the application — authentication flows, parameter passing between the app and the report, and troubleshooting 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
- Automate report generation, scheduling, and delivery — 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
Required qualifications:
- 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 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
- Proactive approach to staying current with changes in the Fabric/Power BI ecosystem, specifically watching for improvements in Microsoft's paginated report rendering APIs
- Strong bias toward automation and instinctively looks to streamline manual processes rather than repeat them
Preferred qualifications:
- 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
- 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
How We Work With You
When you apply through Get A Job.ai, our recruiting team will review your qualifications and conduct an initial screening. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly — all communication and coordination will flow through our talent team to ensure the best experience for everyone involved.
Pay
Compensation details will be discussed during the screening process and are competitive with senior-level data engineering roles in the healthcare technology sector.
Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Senior Data Engineer
- Employer Get A Job.ai
- Location United States
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 4, 2026
- Apply by October 5, 2026
- Country United States
- Overview Full job description on this page (555 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Develop and document database architectures.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
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Occupation family: Data Engineer
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