Client Engineer III (MedInsight)

Milliman is a global consultancy that provides a range of solutions in healthcare and actuarial consulting. The Client Engineer III role involves leading complex client implementations, ensuring data model quality, and mentoring engineers while taking on a senior individual contributor role with some management responsibilities.

Responsibilities:

• Lead the technical delivery of implementations and major client initiatives: discovery, solution design, execution plan, and delivery
• Own end-to-end data modeling strategy (dimensional models, semantic consistency, performance, and extensibility)
• Enforce engineering standards in client codebases: PR discipline, test strategy, documentation, release management, and automation
• Diagnose and resolve complex data quality issues; quantify downstream impact and drive remediation plans with clients and internal teams
• Serve as a senior client-facing technical consultant: run technical workshops, present findings, propose options/tradeoffs, and influence stakeholder decisions
• Build reusable accelerators (templates, reference models, validation suites, playbooks) that improve delivery speed and consistency across clients
• Mentor and upskill Client Engineers (including Level 1 and Level 2) through pairing, reviews, and coaching
• Partner cross-functionally (Product, Platform Engineering, Client Success, Security/Compliance) to improve platform capabilities and delivery practices
• Champion responsible for AI usage in engineering workflows: define guardrails, review standards, and quality checks for AI-assisted code and analysis

Requirements:

• 5+ years' experience in analytics engineering / data engineering / healthcare analytics (or equivalent), with demonstrated client-facing delivery
• Advanced SQL mastery (complex CTEs, window functions, optimization, pivoting, partitioning, performance tuning)
• Deep experience designing and implementing dimensional models for analytics at scale (grain definition, conformed dimensions, SCD strategy, incremental loads)
• Strong software engineering practices: Git workflows, CI/CD, automated testing, code review standards, release strategies
• Proven consulting skillset: structured discovery, executive-ready communication, stakeholder management, and delivery ownership
• Comfort operating in ambiguous environments and turning unclear requirements into a clear plan and shipped outcomes