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:
• 5+ years of hands-on experience in data engineering or a closely related field.• Strong hands-on expertise with SQL, including advanced query development and performance optimization.
• Experience building ETL/ELT workflows for large and varied datasets in production environments.
• Proficiency with Azure Databricks and Azure Data Factory for cloud-based data processing and orchestration.
• Working knowledge of Python for data engineering, automation, or pipeline development.
• Ability to work with multiple data domains, such as healthcare, financial, marketing, or other regulated and high-volume data types.
• Strong communication skills and the ability to collaborate effectively with technical teams, analytics partners, and business stakeholders.
Compensation
$130,000.00-$160,000.00 YearlyAbout Us
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