This role focuses on the design, development, and enhancement of processes, tools and infrastructure used to support SHC's Data Scientists as they create and deploy AI/ML solutions utilizing the Enterprise Data Platform.
Compensation
Generally starting at $66.52 - $88.14 per hour
Responsibilities
Design, develop, and enhance processes, tools, and infrastructure for AI/ML solutions
Coordinate with Data Scientists on DevOps, SecOps, and FinOps processes
Infrastructure planning and automated Infrastructure as Code (IaC) processes
Create monitoring capabilities to assess the accuracy, validity, and usefulness of AI/ML solutions
Design and create complex pipelines and curated data structures/products for data analysts
Requirements
BS/BA DEGREE IN INFORMATION TECHNOLOGY
INFORMATION SYSTEMS
BUSINESS MANAGEMENT
BUSINESS ANALYTICS
BUSINESS ADMINISTRATION OR A DIRECTLY RELATED FIELD
Design and create complex data pipelines and curated data structures for use by data analysts across Stanford Health Care.
Compensation
Base Pay Scale: Generally starting at $66.52 - $88.14 per hour
Responsibilities
Design and develop data ingestion processes to the SHC Enterprise Data Platform
Create data pipelines and automate development and operational processes
Consult and support other data engineers in design and implementation of data movement processes
Maintain performance of SHC's standard data modeling, DevOps and development tools
Lead teams to define design and development standards
Requirements
Bachelor's degree in Information Technology, Information Systems, Business Management, Business Analytics, Business Administration or a directly related field from an accredited college or university
Oversee and refine data platform and operational processes, ensuring high availability and performance of data pipelines.
Respond to incidents using defined support processes; assess post-incident learnings and drive preventive actions.
Requirements
BS/BA degree in information technology, information systems, business management, business analytics, business administration or a directly related field from an accredited college or university
As an Application Support Engineer, you will play a critical role in ensuring the reliability, stability, and smooth operation of our in‑house DBO applications, built on modern .NET, Angular, and MSSQL architectures.
Responsibilities
Provide L2 application support, ensuring high availability, resilience, and operational continuity of production systems.
Troubleshoot complex production issues using logs, dashboards, metrics, and traces, applying deep system knowledge to resolve incidents efficiently.
Support Kubernetes-based workloads, including pod diagnostics, log analysis, restarts, probes, networking, and scaling behavior.
Investigate backend and API issues, event‑driven flows using RabbitMQ, and database‑related problems in MSSQL.
Collaborate in incident response, post‑incident reviews, root‑cause analysis, and continuous improvement initiatives.
Requirements
University degree in Computer Science, IT, Engineering, or equivalent practical experience.
Hands‑on engineering role focused on designing, building, deploying, and improving automation, integrations, software, and AI‑enabled solutions that reduce avoidable support demand and employee effort.
Locations (3)
Center Valley, Pennsylvania, United States
Las Vegas, Nevada, United States
Toronto, Canada
Responsibilities
Partner with the VP and Support subject‑matter experts to translate prioritized contact reduction opportunities into clear technical requirements and solution options.
Validate feasibility using contact data, workflow observations, system behavior, and operational metrics; challenge assumptions when opportunities differ in practice from initial expectations.
Determine the simplest and most reliable intervention across software, integrations, workflow automation, self‑service, and AI, including recommending alternatives when automation is not the appropriate solution.
The Fraud Associate monitors daily transaction and merchant activity, analyzes fraud patterns using BI tools, and manages card scheme compliance to mitigate chargebacks and risks.
Responsibilities
Monitor and investigate suspicious transactions, merchants, and third-party activity daily.
Dive deep into fraud patterns across our portfolio using BI tools – spot trends, think critically, and act fast.
Partner with teams across the company and with external stakeholders to develop and implement top-tier fraud detection strategies.
Build and enhance reports, tools, and processes to prevent fraud and chargebacks – your insights will directly influence our security.
Communicate directly with merchants and partners to assess fraud risk and agree next steps for resolution.
Requirements
A degree in Banking & Finance, Statistics, Data Analytics, Economics, or similar
Nice to have: Direct experience supporting small-to-medium business (SMB) clients