Data Science Dev​/Ops Engineer

Overview

To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values – integrity, patient-centered, respect, accountability, and compassion – must guide what we do, as individuals and professionals, every day.

ITS Lead Data Science Dev/Ops Engineer will be an experienced system administrator and Dev Ops engineer with a proven track record of managing distributed hardware and software environments, integrating emerging technologies, and working within a collaborative development and analytics environment. The individual will be responsible for the management of dedicated and virtual environments that run data science platforms using Kubernetes. The individual must have familiarity with both Linux and Windows environments.

EEO/AA/Disability/Veteran

• Coordinates and supports Ubuntu Linux engineering and operations.
• Deploys, manages and administers Kubernetes.
• Manages container workloads (Kubernetes).
• Develops and supports Infrastructure as Code (Python, Ansible, Helm, Git Lab).
• Monitors and alerts (Prometheus).
• Coordinates and supports Nutanix operations (management of virtual servers).
• Researches new technologies or methods to advance technical capabilities.
• Works with system owners to consult on system design and gather technical requirements for complex IT systems.
• Experience designing for high availability and disaster recovery requirements, including failover testing across data centers and clusters.
• Drafts system documentation inclusive of KB articles, technical specifications, and architecture diagrams.
• Has knowledge of storage systems (NAS, SAN, AWS S3).

• Participates in the creation of data management plans for key projects.
• Develops data inventory for new data sets within the platform.

• Assists with defining application use cases and requirements.
• Assists with the development and review of enterprise application architectures.
• Consults with team members related to healthcare database access, particularly for Epic-related data warehouse systems.
• Builds new tools to automate workflows.
• Develops applications within a data science platform.

• Creates and maintains regular status reports.
• Attends weekly team meetings to discuss team and project related activities, issues, changes, communications, and updates.
• Completes specific task activities as documented in work plans.
• Supports department with application and information systems knowledge.
• Promotes a team atmosphere conducive to the accomplishment of goals, schedules, and deadlines.
• Shares information openly with all team members.

• Documents and maintains all required architecture and software comments and configures systems accordingly.
• Contributes to preparation of testing scripts and materials and performs unit, system, and integrated testing tasks.
• Assists with implementation and deployment plans and contributes information to the change control process.
• Provides expertise and experience to the development of production environment readiness plan.

• Provides training to other staff as appropriate.
• Helps coordinate interactions with vendors.
• Works closely with departmental staff to identify needs and benefits of implementing software solutions and strives to understand their needs.

• Education:
  
  Bachelor’s Degree required;
  Master’s Degree in Healthcare Administration, ITS, or related field preferred.
• Experience:
  
  Three to four years of experience in healthcare information technology; seven to ten years prior experience in ITS, electronic health records, or data science platforms; prior experience in healthcare or another regulated environment preferred.
• Special
  
  Skills:
  
  Strong background in Linux and Windows system administration; experience with deployment and maintenance of the Kubernetes platform; knowledge of Python and other data science tools; familiarity with Kerberos and/or Active Directory configuration; knowledge of Dev Ops tools (Ansible) for deployment and configuration of infrastructure, container orchestration, and implementation of security frameworks within a distributed environment.