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Staff Software Engineer

Vizient · Chicago, IL · $117,600–$206,000 a year · Full time

Posted Sep 10, 2026 · We last checked this listing on Oct 5, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a durable design decision you made that held up years later.

What they are checking: Whether they think long term and understand what makes architecture decisions last.

How do you mentor engineers as a staff engineer?

What they are checking: Whether they raise the team's skill through coaching and example, not just by doing hard work themselves.

How do you set architectural standards that teams will actually follow?

What they are checking: Whether they can drive technical excellence through clear, practical standards and buy-in.

What would you do

A product leader wants a quick fix that would weaken the ontology design. What do you do?

What they are checking: Whether they can protect long-term architecture while still helping the business move quickly.

How do you get product, analytics and governance teams aligned on what a key business concept means?

What they are checking: Whether they can lead agreement on definitions, which a governed semantic model depends on.

About the work

Walk me through how you'd design an ontology in Palantir Foundry that brings together EHR and ERP data.

What they are checking: Whether they can model clinical, financial and operational concepts in Foundry in a way that lasts.

How have you used Palantir AIP to build AI-enabled workflows?

What they are checking: Whether they have hands-on experience with AIP and know how to apply it responsibly.

How would you set up an analytics engineering framework so reporting stays consistent across teams?

What they are checking: Whether they can create shared standards for transformations, testing and metric definitions.

How would you handle sensitive EHR data in the ontology so access is properly controlled?

What they are checking: Whether they build security and governance into the data model from the start.

How would you plan the migration of an existing data product onto Foundry without disrupting users?

What they are checking: Whether they can plan a rebuild with parallel runs and validation so reporting stays trustworthy.

Practice this interview out loud.

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The full job description

As published by Vizient.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will serve as a senior technical leader and hands-on architect for a strategic data product being reimagined and rebuilt on Palantir Foundry and AIP. You will lead the design and development of the product’s enterprise ontology, integrating EHR and ERP data into a governed semantic model that represents key clinical, operational, financial, and administrative business concepts. You will define the foundational ontology, analytics engineering framework, and technical architecture while influencing the long-term technical roadmap for the platform. You will partner closely with product, analytics, operations, data governance, security, and engineering teams to deliver trusted reporting, reusable analytics, AI-enabled workflows, and future product capabilities. As a Staff Engineer, you will establish architectural standards, drive technical excellence, mentor engineers, and make durable design decisions while remaining deeply engaged in complex data and platform engineering initiatives. Responsibilities: • Lead the architecture, design, and implementation of a Palantir Foundry-based data product, with primary ownership of the enterprise ontology, curated data assets, and analytics engineering framework. • Define and evolve the enterprise ontology using EHR, ERP, and related enterprise data sources, translating complex healthcare workflows into reusable object types, relationships, semantic models, and governed business concepts. • Model and maintain core clinical, operational, financial, and administrative entities and relationships to support scalable analytics, reporting, operational workflows, and AI-enabled use cases. • Establish and govern architecture standards, ontology design patterns, data contracts, engineering practices, and semantic modeling frameworks that promote consistency, scalability, maintainability, and reuse across the platform. • Design, implement, and optimize scalable PySpark transformations, data pipelines, derived metrics, KPIs, and analytical datasets that support enterprise reporting and product capabilities. • Drive data quality, governance, security, privacy, lineage, and auditability practices to ensure trusted and compliant use of healthcare data. • Lead architectural decision-making and define technical strategies for platform scalability, reliability, performance, observability, and long-term maintainability. • Collaborate with product, analytics, operations, data governance, and engineering teams to translate business requirements into durable technical solutions and prioritize platform investments. • Evaluate emerging technologies, platform capabilities, and industry trends to identify opportunities that improve engineering productivity, solution quality, analytics capabilities, and future product innovation. • Mentor engineers and analytics professionals while championing modern engineering practices, including AI-assisted development and agentic engineering approaches, to elevate technical excellence across teams. Qualifications: • Relevant degree preferred. • 7 or more years of relevant experience required. • Strong technical expertise in data engineering, analytics engineering, software engineering, data architecture, or platform engineering, including designing and delivering large-scale distributed data platforms required. • Strong understanding of agentic coding, AI-assisted development, and emerging AI technologies within modern software engineering and analytics workflows required. • Experience with PySpark, Spark, Python, SQL, distributed data processing, and development of production-grade data products, analytical datasets, and reusable transformation frameworks required. • Strong understanding of data modeling and semantic architecture concepts, including entity relationship modeling, dimensional modeling, ontology development, domain-driven design, and enterprise data modeling required. • Experience implementing modern engineering practices including CI/CD, automated testing, code reviews, version control, monitoring, documentation, and release management required. • Experience designing scalable, secure, reliable, and governed data platforms, including data quality frameworks, lineage, observability, access controls, privacy, and regulatory compliance requirements. • Proven ability to lead architectural decision-making, establish engineering standards, communicate technical tradeoffs, and influence technical direction across multiple teams and stakeholders. • Ability to translate complex healthcare, operational, financial, and business workflows into durable technical models that support reporting, analytics, AI-enabled workflows, and future product capabilities. • Strong written and verbal communication skills with the ability to effectively communicate complex technical concepts to technical and non-technical audiences. • Experience mentoring engineers and fostering a culture of technical excellence, innovation, and continuous improvement. • Hands-on experience with Palantir Foundry, including ontology development, datasets, transforms, Code Repositories, object types, link types, functions, actions, security, and application enablement highly preferred. • Experience with healthcare data domains and platforms, including EHR, ERP, FHIR, HL7, Epic, Oracle Health, claims, provider, financial, operational, and clinical data preferred. • Experience designing enterprise semantic layers, governed metric frameworks, certified datasets, enterprise reporting foundations, or large-scale ontology implementations preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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