Staff Software Engineer

Vizient, Inc

Staff Software Engineer architecting Vizient’s Palantir Foundry healthcare data platform. Leading enterprise ontology, governed analytics, scalable pipelines, and AI-enabled workflows.

Posted 9/10/2026full-timeEdina • Illinois, Minnesota, Texas • 🇺🇸 United StatesLead💰 $117,600 - $206,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture, analytics engineering, and the implementation of scalable data platforms, with a strong focus on AI-assisted development and data governance. Proficient in leading architectural decisions and mentoring teams to achieve technical excellence in complex data environments.

Highest-signal resume keywords

Data EngineeringAnalytics EngineeringPySparkOntology DevelopmentHealthcare Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureDistributed Data ProcessingEntity Relationship ModelingDimensional ModelingAI-Assisted DevelopmentSQLPythonCI/CDData QualitySemantic Modeling

Soft Skills

Strong Communication SkillsMentoringInfluencing Technical Direction

Tools & Technologies

Palantir FoundryEHRERPFHIRHL7Oracle Health

Industry Keywords

Data GovernanceData PrivacyRegulatory ComplianceOperational WorkflowsFinancial Workflows

Tech Stack

Tools & technologies

ERPOraclePySparkPythonSparkSQL

About the role

Key responsibilities & impact

Lead architecture, design, and implementation of a Palantir Foundry-based data product
Own the enterprise ontology, curated data assets, and analytics engineering framework
Define and evolve the ontology using EHR, ERP, and related enterprise data sources
Model clinical, operational, financial, and administrative entities and relationships
Establish architecture standards, ontology design patterns, data contracts, engineering practices, and semantic modeling frameworks
Design, implement, and optimize PySpark transformations, data pipelines, derived metrics, KPIs, and analytical datasets
Drive data quality, governance, security, privacy, lineage, and auditability practices
Lead architectural decisions and define strategies for scalability, reliability, performance, observability, and maintainability
Collaborate with product, analytics, operations, data governance, and engineering teams
Evaluate emerging technologies and platform capabilities
Mentor engineers and analytics professionals
Champion AI-assisted development and agentic engineering practices

Requirements

What you’ll need

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
Experience designing and delivering large-scale distributed data platforms
Strong understanding of agentic coding, AI-assisted development, and emerging AI technologies
Experience with PySpark, Spark, Python, SQL, distributed data processing, production-grade data products, analytical datasets, and reusable transformation frameworks
Understanding of entity relationship modeling, dimensional modeling, ontology development, domain-driven design, and enterprise data modeling
Experience with CI/CD, automated testing, code reviews, version control, monitoring, documentation, and release management
Experience designing scalable, secure, reliable, and governed data platforms
Knowledge of data quality, lineage, observability, access controls, privacy, and regulatory compliance
Ability to lead architectural decision-making, establish engineering standards, communicate technical tradeoffs, and influence technical direction
Ability to translate complex healthcare, operational, financial, and business workflows into durable technical models
Strong written and verbal communication skills
Experience mentoring engineers and fostering technical excellence
Hands-on Palantir Foundry experience highly preferred, including ontology development, datasets, transforms, Code Repositories, object types, link types, functions, actions, security, and application enablement
Healthcare data experience preferred, including EHR, ERP, FHIR, HL7, Epic, Oracle Health, claims, provider, financial, operational, and clinical data
Experience designing enterprise semantic layers, governed metric frameworks, certified datasets, enterprise reporting foundations, or large-scale ontology implementations preferred

Benefits

Comp & perks

Incentive eligible
Comprehensive benefits plan