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University of Vermont Health Network is seeking an experienced data platform engineer to build, automate, secure, and operate the infrastructure behind our enterprise data platform. This senior individual-contributor role connects data engineering, cloud infrastructure, and production operations to enable safe deployment, effective monitoring, reliable recovery, and sustained support for data products.
Required 5+ years of hands-on experience with AWS, Databricks, Snowflake, and at least 5 years
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
UVM Health is seeking an experienced, hands-on engineer to build, automate, secure, and operate the infrastructure and delivery capabilities behind our enterprise data platform. This senior individual-contributor role connects data engineering, cloud infrastructure, and production operations so that data products can be deployed safely, monitored effectively, recovered reliably, and supported over time.
Required platform proficiencies include at least 5 years of hands-on experience in each of AWS, Databricks, and Snowflake, plus at least 5 years of Microsoft data-platform engineering experience across Microsoft Fabric and related technologies, including demonstrated hands-on Fabric proficiency. Experience with multiple platforms may overlap within the same employment period; the platform minimums are not additive years beyond the overall experience requirement.
You will own the engineering and day-to-day operability of assigned data-platform services, working closely with data engineers, enterprise IT, cybersecurity, architecture, analytics teams, and implementation partners. You will help modernize the platform while maintaining continuity for existing data delivery, translating architecture into working infrastructure, repeatable deployments, effective controls, and documented operating practices.
This is not primarily a reporting, dashboard development, or ETL development position. Success requires direct experience building and operating the environments, automation, security controls, and recovery capabilities that production data engineering depends on.