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**Job Type:** Regular

**Time Type:** Full time

**Work Shift:** Day (United States of America)

**FLSA Status:** Exempt

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.

The Senior Data Engineer will work on a team focused on the development and maintenance of the data pipelines for the innovative EHR+ applications, and manage and administer the tools and data pipelines for Epic EHR that include Clarity, Caboodle, and Cogito. This role will develop and maintain scalable data pipelines and build out new ETL/API integrations to various internal/external data sources, including EHR systems, to support the continuing increase in data volume and complexity. Collaborates with analytics and business teams to improve data models that feed innovative 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.

Job Description:

**Essential Duties & Responsibilities** including but not limited to:

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. Monitors the Epic Cogito systems environment, which includes monitoring day-to-day ETL jobs, troubleshooting any issues that arise, and monitoring database growth, and works with DBAs and Epic TS representatives to maintain overall database health and availability if required.

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.

Provides on-call/after-hours support as required.

Performs all other duties as needed or directed to meet the needs of the department and or customer.

Minimum Qualifications:

Education:

Bachelor’s degree in Computer Science or related technical field required.

Experience:

5-8 years of related work experience is required in Python, Java, or SQL

Skills, Knowledge & Abilities:

+ 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.

Preferred Qualifications & Skills:

Master’s degree in Computer Science, Statistics, Mathematics, Physical Science, and Engineering preferred.

As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.

More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.

Equal Opportunity** **Employer/Veterans/Disabled