DescriptionSenior Data EngineerWhat You'll DoAs a Senior Data Engineer, you will:
- Design, develop, and maintain scalable data pipelines that ingest, transform, validate, and deliver data from complex enterprise applications and external data sources.
- Build foundational data infrastructure that supports enterprise reporting, analytics, machine learning, data science, feature engineering, and AI-driven solutions.
- Develop trusted, well-governed data products, curated datasets, and reusable data models that are reliable, scalable, and easy to consume.
- Engineer solutions across diverse healthcare domains, including clinical, operational, financial, research, and administrative data.
- Implement modern data engineering best practices, including modular design, automated testing, CI/CD, monitoring, orchestration, observability, and production support.
- Create and maintain technical architecture documentation, data dictionaries, lineage artifacts, runbooks, and data quality frameworks.
- Collaborate with data architects, analysts, data scientists, application teams, product managers, and business stakeholders to deliver scalable data solutions aligned with organizational priorities.
- Support enterprise cloud modernization initiatives involving Azure-based data services, Databricks, data lakehouse architectures, enterprise data warehousing, ML-ready datasets, and feature stores.
- Optimize the performance, reliability, scalability, and usability of enterprise data pipelines and analytical assets.
- Establish and promote standards for data modeling, metadata management, naming conventions, security, governance, data quality, and reusable engineering frameworks.
- Lead or contribute to strategic initiatives by defining technical architectures, implementation patterns, delivery approaches, and operational support models.
- Participate in cross-functional architecture reviews, solution design discussions, and technology planning efforts.
- Mentor team members through code reviews, technical guidance, documentation, workshops, and knowledge-sharing sessions.
- Partner with leadership to advance engineering standards, platform capabilities, and the long-term data architecture roadmap.
Salary range: $109,900 - $243,900
Salary offers are based on a variety of factors including qualifications, experience, and internal equity . The University anticipates offering a salary below the midpoint of this range.
