Senior Business Intelligence Engineer
J
JobgetherHealthcare analytics
Remote; based in the United StatesFull-TimeSenior
SalaryAnnual 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.
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Job Details
- Experience
- At least 5 years of SQL experience; at least 2 years of hands-on experience with Databricks data engineering.
- Required Skills
- PythonSQLMicrosoft Power BIDatabricksPySpark
Requirements
- Hold an undergraduate degree in a relevant discipline.
- Have at least 5 years of SQL experience, including writing complex queries across multiple data sources.
- Have at least 2 years of hands-on Databricks data engineering experience developing and maintaining pipelines, workflows, and data transformations.
- Have experience developing dashboards, semantic models, and paginated reports using Power BI, Power BI Desktop, and Power BI Report Builder or similar tools.
- Have experience building or supporting PowerApps applications and solutions.
- Have experience developing or maintaining workflow automation solutions using Power Automate.
- Demonstrate analytical and problem-solving skills, including investigating data sources and translating unclear requirements into practical solutions.
- Be able to manage complex assignments, exercise technical judgment, and work independently.
- Meet remote work requirements, including reliable internet with minimum download speeds of 25 Mbps and upload speeds of 10 Mbps, and a dedicated workspace that protects sensitive healthcare information.
- Be willing to travel occasionally to company offices for training or meetings, as required.
- Preferred: advanced degree; Python and/or PySpark experience; exposure to AI, machine learning, generative AI, or retrieval-augmented generation, particularly in Databricks.
- Preferred: healthcare data experience, automated ETL/ELT processes, recurring reporting datasets, or data platform modernization, migration, or lakehouse analytics initiatives.
Responsibilities
- Maintain data pipelines, reporting datasets, dashboard refresh processes, and recurring analytics assets.
- Collaborate with business and technical stakeholders to clarify needs and develop scalable data and analytics solutions.
- Research source systems, data definitions, ownership, and lineage to support data discovery and requirements gathering.
- Write complex SQL queries to extract, transform, summarize, and analyze data from multiple sources.
- Design and maintain Power BI dashboards, semantic models, paginated reports, and other analytical products.
- Develop and support PowerApps applications and Power Automate workflows for business processes and reporting activities.
- Design, implement, and support Databricks data engineering solutions, including pipelines, transformations, workflows, and automation.
- Support data process modernization and emerging AI, machine learning, and generative AI initiatives.
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