Data Science Dev/Ops Engineer

About the Role

As an ITS Lead Data Science Dev/Ops Engineer, you will be an experienced system administrator and DevOps engineer responsible for managing distributed hardware and software environments, integrating emerging technologies, and working within a collaborative development and analytics environment. You will oversee dedicated and virtual environments running data science platforms using Kubernetes, with familiarity in both Linux and Windows environments. Our organization values integrity, patient-centered care, respect, accountability, and compassion, guiding our work every day.

Responsibilities

• System Management / DevOps
  • 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, GitLab).
  • Implements monitoring and alerting (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.
  • Designs systems for high availability and disaster recovery, including failover testing.
  • Drafts system documentation, including KB articles, technical specifications, and architecture diagrams.
  • Demonstrates knowledge of storage systems (NAS, SAN, AWS S3).
• Data Management
  • Participates in the creation of data management plans for key projects.
  • Develops data inventory for new data sets within the platform.
• Application Development
  • Assists with defining application use cases and requirements.
  • Contributes to the development and review of enterprise application architectures.
  • Consults with team members on healthcare database access, particularly for Epic-related data warehouse systems.
  • Builds new tools to automate workflows.
  • Develops applications within a data science platform.
• Teamwork
  • Creates and maintains regular status reports.
  • Attends weekly team meetings to discuss activities, issues, and updates.
  • Completes task activities as documented in work plans.
  • Supports the department with application and information systems knowledge.
  • Promotes a collaborative team atmosphere to meet goals, schedules, and deadlines.
  • Openly shares information with all team members.
• Documentation
  • Documents and maintains architecture and software comments and system configurations.
  • Contributes to preparation of testing scripts and performs unit, system, and integrated testing tasks.
  • Assists with implementation and deployment plans and contributes to the change control process.
  • Provides expertise for the development of production environment readiness plans.
• Other
  • Provides training to other staff as appropriate.
  • Helps coordinate interactions with vendors.
  • Works closely with departmental staff to identify needs and benefits of software solutions.

Requirements

• Education: Bachelor’s Degree required; Master’s Degree in Healthcare Administration, ITS, or a related field preferred.
• Experience:
  • Three to four years of experience in healthcare information technology.
  • Seven to ten years of prior experience in ITS, electronic health records, or data science platforms.
  • Prior experience in healthcare or other regulated environments (e.g., financial services) preferred.
• Special Skills:
  • Strong background in Linux and Windows system administration.
  • Experience with deployment and maintenance of Kubernetes.
  • Knowledge of Python and other data science tools.
  • Familiarity with Kerberos and/or Active Directory configuration.
  • Knowledge of DevOps tools (Ansible) for deployment, configuration, container orchestration, and security frameworks.