Senior Business Intelligence Engineer
Jobgether
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Benefits offered by this job
Job summary
Jobgether is seeking a Senior Business Intelligence Engineer for a remote, nationwide role in the United States. You will translate complex business requirements into scalable data pipelines, dashboards, and applications using SQL, Databricks, and Power Platform.
Work with stakeholders to modernize data platforms, support AI/ML initiatives, and deliver high-quality insights in a healthcare environment. Strong communication and independent problem-solving are essential.
Qualifications
- 5+ years of SQL experience with complex queries across multiple sources.
- 2+ years of Databricks data engineering, pipelines and workflows.
- Experience building dashboards and reports with Power BI (Desktop/Report Builder).
- Experience building apps with PowerApps and workflow automations with Power Automate.
- Strong problem-solving, communication, and independent work skills.
- Preferred: advanced degree; Python/PySpark; AI/ML exposure in Databricks.
- Healthcare data experience and data modernization exposure are a plus.
Responsibilities
- Maintain and enhance data pipelines and dashboards for reliable access to business information.
- Collaborate with stakeholders to translate needs into scalable data solutions.
- Research source systems, data definitions, ownership, and lineage.
- Write complex SQL to extract, transform, and analyze data from multiple sources.
- Design and maintain Power BI dashboards, semantic models, and paginated reports.
- Develop and support PowerApps applications to improve workflows.
- Build Power Automate workflows to streamline reporting processes.
- Develop data engineering solutions in Databricks and automate pipelines.
- Support AI/ML initiatives, including scalable analytics on structured and unstructured data.
- Identify opportunities to improve data quality, reporting efficiency, and scalability.
Skills
Education
Tools
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Business Intelligence Engineer based in the United States.
The Senior Business Intelligence Engineer will develop and maintain data solutions that transform complex information into actionable business insights.
This role combines business intelligence, data engineering, dashboard development, and workflow automation to support strategic and operational decision-making.
Working with technical and business stakeholders, you will translate ambiguous requirements into scalable reporting solutions, reliable data pipelines, and efficient applications.
You will leverage SQL, Power BI, Databricks, and Microsoft Power Platform technologies to enhance analytics capabilities and streamline business processes.
The position also offers opportunities to contribute to data platform modernization and emerging artificial intelligence and machine learning initiatives.
Success in this role requires strong analytical thinking, technical expertise, and the ability to deliver high-quality solutions with limited direction.
This is a full-time, remote opportunity for an experienced data professional seeking to make a meaningful impact in a complex, data-driven healthcare environment.
- Maintain and enhance data pipelines, reporting datasets, dashboard refresh processes, and recurring analytics assets to ensure reliable and consistent access to business information.
- Collaborate with business and technical stakeholders to understand reporting and operational needs, clarify ambiguous requests, and develop scalable data and analytics solutions.
- Research source systems, data definitions, ownership, and lineage to support data discovery, requirements gathering, and solution development.
- Write complex SQL queries to extract, transform, summarize, and analyze data from multiple sources.
- Design, develop, and maintain dashboards, semantic models, paginated reports, and other analytical products using Power BI, Power BI Desktop, and Power BI Report Builder or comparable tools.
- Develop and support PowerApps applications that improve business workflows and provide users with more effective access to insights.
- Build and maintain Power Automate workflows to streamline business processes, notifications, approvals, and reporting-related activities.
- Design, implement, and support data engineering solutions in Databricks, including data pipelines, transformation processes, workflows, and automation.
- Contribute to the modernization of data processes and the expansion of Databricks-based analytics capabilities.
- Support emerging AI, machine learning, and generative AI initiatives, including solutions that use structured and unstructured data.
- Evaluate technical approaches, solve moderately complex to complex problems, and deliver effective solutions with limited supervision.
- Identify opportunities to improve data quality, reporting efficiency, automation, and the scalability of analytics solutions.
- Undergraduate degree in a relevant discipline.
- At least 5 years of SQL experience, including writing complex queries to extract, transform, summarize, and analyze data from multiple sources.
- At least 2 years of hands-on experience with Databricks data engineering, including developing and maintaining pipelines, workflows, and data transformation processes.
- Experience developing dashboards, semantic models, and paginated reports using Power BI, Power BI Desktop, and Power BI Report Builder or similar business intelligence tools.
- Experience building or supporting applications and solutions with PowerApps.
- Experience developing or maintaining workflow automation solutions using Power Automate.
- Strong analytical and problem-solving skills, including the ability to investigate data sources, work through unclear business requirements, and translate findings into practical solutions.
- Excellent written and verbal communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Ability to manage complex assignments, exercise sound technical judgment, and work independently in an evolving environment.
- Preferred qualifications: An advanced degree; experience with Python and/or PySpark for data engineering, analytics, automation, or AI/ML applications; and exposure to AI, machine learning, generative AI, or retrieval-augmented generation solutions, particularly in Databricks.
- Additional preferred experience includes working with healthcare data, such as claims or operational datasets; developing automated ETL/ELT processes and recurring reporting datasets; and supporting data platform modernization, migration, or lakehouse analytics initiatives.
- Ability to meet remote work requirements, including reliable internet access with minimum download speeds of 25 Mbps and upload speeds of 10 Mbps, and a dedicated workspace that protects sensitive healthcare information.
- Willingness to travel occasionally to company offices for training or meetings, as required.
- Annual base salary: $89,000–$121,400 USD, depending on location, qualifications, relevant experience, skills, and other job-related factors.
- Performance-based bonus: Eligibility for a bonus incentive plan based on individual and/or organizational performance.
- Medical, dental, and vision insurance to support employee and family well-being.
- 401(k) retirement savings plan to help support long-term financial security.
- Paid time off, including personal and company holidays.
- Paid parental and caregiver leave to support employees during important life events.
- Short-term and long-term disability coverage.
- Life insurance and additional employee benefits.
- Remote work arrangement available nationwide in the United States, subject to role requirements.
- Home office support: Telephone equipment appropriate to the position's business needs is provided. Eligible employees residing and working remotely in California, Illinois, Montana, or South Dakota receive a biweekly payment toward internet expenses.
- Opportunity to contribute to business-critical analytics, data modernization, and emerging AI/ML initiatives in the healthcare sector.
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