Beth Israel Lahey Health is looking to develop and maintain data pipelines for innovative EHR+ applications and manage tools and data pipelines for Epic EHR, including Clarity, Caboodle, and Cogito, to support increasing data volume and complexity.
Requirements
- Knowledge with Clarity, Caboodle ETL
- Knowledge with ETL processes and methodologies.
- Knowledge in designing, building, and maintaining data processing systems.
- Working knowledge of Unix/Linux systems.
- Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL.
- 5-8 years of related work experience is required in Python, Java, or SQL
- Bachelor’s degree in Computer Science or related technical field required.
Responsibilities
- Leads and develops scalable data pipelines and builds out new ETL/API integrations to variable internal/external data sources, including EHR systems, to support the continuing increase in data volume and complexity.
- Manages and administers the EHR tools and data pipelines for Epic EHR that include Clarity, Caboodle, and Cogito.
- Performs modifications, full upgrades, patches, and SU’s on all Epic Clarity and Caboodle environments if required.
- Collaborates with analytics and business teams to improve data models that feed innovation EHR+ applications, increasing data accessibility and fostering data-driven decision making across the organization.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
- Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Other
- Bachelor’s degree in Computer Science or related technical field required.
- 5-8 years of related work experience is required
- Master’s degree in Computer Science, Statistics, Mathematics, Physical Science, and Engineering preferred.
- Full-time employment
- 40 hours/week
