Senior Data Engineer
Responsibilities:
• Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use.
• Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture.
• Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights.
• Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams.
• Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows.
• Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform.
• Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability.
• Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
Qualifications:
Compensation
$130,000.00-$160,000.00 YearlyAbout Us
Technology Doesn't Change the World, People Do.®
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