Staff Software Engineer

Vizient; Edina (MN); On-site; USD 118,000 - 206,000; Full time

Job summary

Vizient in Edina, MN is seeking a Staff Engineer who will lead the architectural design of a Palantir Foundry-based data product, owning the enterprise ontology and analytics framework. You will work across teams to turn healthcare, operational, financial, and administrative data into a governed semantic model that enables trusted reporting and scalable analytics.

This role requires 7+ years of experience in data/platform engineering and hands-on Palantir Foundry experience.

Qualifications

• 7+ years of relevant experience required.
• Strong expertise in data engineering, analytics engineering, software engineering, or data architecture.
• Experience with PySpark, Spark, Python, SQL, and distributed data processing.
• Hands-on Palantir Foundry experience including ontology development preferred.
• Knowledge of ontology design, semantic modeling, and enterprise data modeling.
• Experience with CI/CD, automated testing, code reviews, and version control.
• Ability to translate healthcare and business workflows into durable technical models.
• Strong communication skills and mentoring experience.
• Experience with healthcare data domains (EHR, ERP, FHIR, HL7) preferred.
• Familiarity with data quality, lineage, observability, and privacy/compliance.

Responsibilities

• Lead the architecture, design, and implementation of a Palantir Foundry-based data product.
• Define and evolve the enterprise ontology using EHR, ERP, and related data sources.
• Model and maintain core clinical, operational, financial, and administrative entities.
• Establish and govern architecture standards, ontology design patterns, data contracts.
• Design, implement, and optimize PySpark transformations and data pipelines.
• Drive data quality, governance, security, privacy, lineage, and auditability.
• Lead architectural decision-making and define technical strategies for scalability.
• Collaborate with product, analytics, operations, governance, and engineering teams.
• Evaluate emerging technologies to improve productivity and analytics capabilities.
• Mentor engineers and promote modern engineering practices including AI-assisted development.

Skills

Data engineering

Analytics engineering

Software engineering

Data architecture

Platform engineering

PySpark

Python

SQL

Distributed data processing

Ontology development

Domain-driven design

CI/CD

Automated testing

Code reviews

Version control

Data quality

Data lineage

Observability

Access controls

Privacy

Regulatory compliance

Architectural leadership

Healthcare data

AI-assisted development

Palantir Foundry

Communication

Mentoring

Education

Relevant degree

Tools

Palantir Foundry

Job description

Excited to grow your career?

We value our talented employees and instill an environment where you feel engaged, satisfied and able to contribute your unique skills and talents while living and working as your authentic self. We provide extensive opportunities for personal and professional development, building employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Our people make all the difference in our success.

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.

Career Framework

Professional - Lead Associate (P4)

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