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Engineering Team Lead
Vizient, Inc. Lead technical design, implementation, and delivery of complex software and data engineering solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and implementation of complex software and data engineering solutions, with a strong focus on scalable data pipelines, PySpark transformations, and backend services. Proven ability to enforce engineering best practices, mentor teams, and collaborate effectively across cross-functional teams.
Highest-signal resume keywords
Technical Design LeadershipData Pipeline DevelopmentPySpark TransformationsCode Quality EnforcementMentoring Engineers
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData EngineeringAPI DevelopmentAutomated TestingCI/CD PracticesPerformance OptimizationScalability SolutionsTroubleshootingSolution DesignDependency Management
Soft Skills
CollaborationTechnical GuidanceKnowledge Sharing
Tools & Technologies
PySparkBackend ServicesHealthcare AnalyticsAI-Enabled Applications
Industry Keywords
Engineering PracticesCode QualityOperational ReliabilityContinuous ImprovementArchitecture Discussions
Tech Stack
Tools & technologiesPySpark
About the role
Key responsibilities & impact- Lead technical design, implementation, and delivery of complex software and data engineering solutions
- Own day-to-day technical execution for an engineering team
- Design and develop scalable data pipelines, PySpark transformations, backend services, APIs, and ontology components supporting healthcare analytics and AI-enabled applications
- Collaborate with architects and Staff Engineers to implement architectural direction
- Establish and enforce engineering practices for code quality, testing, CI/CD, performance, security, and reliability
- Troubleshoot technical issues, resolve engineering blockers, and improve system performance, scalability, and maintainability
- Partner with product, engineering, and cross-functional teams to clarify requirements and evaluate technical tradeoffs
- Mentor engineers through technical guidance, code reviews, and knowledge sharing
- Champion AI-assisted development and agentic coding practices
- Contribute to architecture discussions, reusable engineering frameworks, and continuous improvement
Requirements
What you’ll need- Experience leading technical design, implementation, and delivery of complex software and data engineering solutions
- Hands-on development and code review experience
- Experience with solution design, task breakdown, technical guidance, dependency management, and delivery quality
- Experience designing and developing scalable data pipelines, PySpark transformations, backend services, APIs, and ontology components
- Experience translating architectural direction into maintainable, production-ready implementations
- Knowledge of code quality, automated testing, CI/CD, performance, security, and operational reliability
- Experience troubleshooting complex technical issues and improving system performance, scalability, and maintainability
- Ability to collaborate with product, engineering, and cross-functional teams
- Experience mentoring engineers and conducting code reviews
- Preferred: AI-assisted development and agentic coding practices
- Preferred: architecture discussions, reusable engineering frameworks, and continuous improvement practices
Benefits
Comp & perks- Comprehensive benefits plan
- Incentive eligibility
- Personal and professional development opportunities