Build and deploy custom manufacturing software and integrate off‑the‑shelf solutions across global sites.
Locations (6)
Frederick, Maryland, United States
Austin, Texas, United States
Carlsbad, California, United States
Pleasanton, California, United States
Eugene, Oregon, United States
Rockford, Illinois, United States
Compensation
The salary range estimated for this position based in California is $114,600.00 - $152,800.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
Responsibilities
Partner with site operations and process owners to select lighthouse projects and define user requirements
Design, code, test, and deploy custom manufacturing applications and reusable services
Evaluate, configure, extend, and integrate off‑the‑shelf manufacturing software
Own technical integration with equipment, ERP, and other enterprise systems
Work with IT on infrastructure, identity, networking, cybersecurity, and architecture
Requirements
Bachelor's degree in Computer Science, Software, Computer, Electrical, Industrial, or Systems Engineering
Master's degree in Computer Science, Software, Computer, Electrical, Industrial, or Systems Engineering
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
The role supports coordinating technology and AI initiatives with the Data & AI and IT teams, providing project management and analytical support across conflicts and new business technology initiatives.
Compensation
The target salary range for this role is: $85,600 - $118,000 if located in Illinois.
Responsibilities
Support coordinating technology and AI initiatives with the Data & AI team and Information Technology
Assist in managing day-to-day execution of conflicts and new business technology and AI projects, tracking milestones, dependencies, and deliverables
Draft business requirements documents and functional specifications for AI, search, and workflow initiatives
Write and run queries against the Firm's conflicts database and related systems for data analysis, reporting, and troubleshooting
Support developing and executing test plans for application implementations and upgrades, including user acceptance testing
The Senior Data Operations Manager owns the systems and workflows behind client reporting, campaign delivery, and month-end billing. The role resolves data issues, manages custom requests, and connects Salesforce, Fivetran, Snowflake, Sigma, and partner platforms.
Compensation
We offer a base salary of $70,000-$90,000, but that's just the starting point. This role includes a generous performance-based bonus program, plus a full benefits package, because we believe in rewarding the people who help us grow.
Responsibilities
Own and prioritize data requests based on urgency, client impact, and revenue risk.
Build and maintain Sigma workbooks, Snowflake views, data models, and supporting data assets; troubleshoot issues across Salesforce, Fivetran, Snowflake, Sigma, and downstream reporting.
Manage reporting access, user permissions, onboarding, account changes, offboarding, external Snowflake shares, and client Data Dictionaries.
Maintain synchronization between Salesforce orders and DSP campaigns; resolve reporting and month-end exceptions involving campaign data, delivery, invoices, and product setup.
Maintain partner data feeds and support new data connections as business needs evolve.
Building enough AI platforms to automate document-intensive review workflows, focusing on the user-facing layer, analytics engineering, and data product development.
Responsibilities
Reviewer Workbench & application engineering
Build reviewer-facing application — triage incoming documents, accept or override AI recommendations, annotate decisions
Design UI/UX patterns that match how reviewers actually work
Capture feedback to train models and refine rule packs
Ensure application performance at scale for high document volumes
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
Nice to have: Power BI Data Analyst Associate certification
Nice to have: Databricks Data Analyst Associate certification
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