Jobs Companies University of Vermont Medical Center DataOps / Platform Engineer

Sobre este puesto de DataOps / Platform Engineer en University of Vermont Medical Center

University of Vermont Medical Center · Presencial · South Burlington, VT
Building Name: UVMMC - 40 IDX Drive

Location Address: 40 IDX Drive, South Burlington Vermont

Regular

Department: UVMHN Data & Analytics: Data Platform & Engineering

Full Time

Standard Hours: 40

Biweekly Scheduled Hours:

Shift: Day

Primary Shift: -

Weekend Needs: None

Salary Range: Min $52.34 Mid $65.43 Max $78.51

Recruiter: Chelsea Therrien

Job Summary:
The DataOps / Platform Engineer is responsible for the overall operational health, reliability, backup and archiving, and strategic planning of UVM Health's enterprise analytics data platform. This role ensures that the Microsoft Fabric environment and related data infrastructure is stable, well-monitored, appropriately backed up, and optimized for the needs of a growing analytics organization. The DataOps / Platform Engineer also leads the exploration and onboarding of new data sources, working with business stakeholders and data engineers to assess feasibility and plan technical integration.

Education:
•    Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field required.

Experience:
•    4+ years of experience in data platform operations, DataOps, or cloud infrastructure roles.
•    Experience with Microsoft Fabric, Azure infrastructure, or equivalent cloud data platforms.
•    Experience designing and managing backup, archiving, and disaster recovery processes.
•    Familiarity with job scheduling, monitoring, and alerting tools.
•    Experience working in agile product delivery preferred.

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Sobre University of Vermont Medical Center

The University of Vermont Medical Center is committed to being a national model for the delivery of high-quality academic health care for a rural region. The University of Vermont Medical Center will continue to ensure that individuals are employed, and that employees are treated during candidacy and employment, without regard to their sex, gender identity or expression, ancestry, place of birth, HIV status, marital status, age, language, socioeconomic status, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status or obligation for service in the armed forces, or any other characteristic protected by law in all employment pr

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