Business Technology Solutions Consultant​/Data Engineer – Health Plan

ZS is a management consulting and technology firm focused on improving life and how we live it. We transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers worldwide. ZSers drive impact by bringing a client‑first mentality to each engagement.

We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical business areas.

ZS’s Technology group focuses on scalable strategies, assets and accelerators that deliver enterprise‑wide transformation via cutting‑edge technology. We leverage digital and technology solutions to optimize business processes, enhance decision‑making and drive innovation. Our services include Digital and Technology advisory, Product and Platform development and Data, Analytics and AI implementation.

HPP is a growth venture focused on a strategic set of offerings and client segments that unlock the ZS mission of improving life and how we live it. It operates like a mission‑oriented start‑up backed by a global firm and aims to build the ecosystem of payer/provider clients that share a long‑term partnership mindset and drive innovation in healthcare. The team is growing quickly and seeks passionate members who value impact, collaboration and human‑centric service.

• Lead end‑to‑end projects leveraging modern cloud, data and analytics technologies to solve complex business problems
• Design, build and optimize data pipelines and architectures using Databricks, Snowflake, AWS, Azure or GCP and related tools to ensure reliable, scalable and high‑performance processing
• Develop data models, ETL/ELT pipelines and integration frameworks supporting analytics, AI/ML and application development initiatives
• Implement best practices for data quality, governance and automation across the data lifecycle
• Provide technology and architecture expertise to maximize value for clients and internal teams
• Drive strong delivery methodology to ensure projects are delivered on time, within budget and to client satisfaction
• Ensure technology solutions are scalable, resilient and cost‑optimized
• Collaborate with ZS experts to drive innovation and minimize project risks
• Lead, coach and mentor project team members for continuous learning and professional growth
• Demonstrate facilitation and strong interpersonal skills in both internal and client interactions
• Bring structure to unstructured work for developing business cases with clients
• Apply a deep understanding of the Health Plan industry to inform data solutions, business processes and technology implementation strategies
• Assist ZS Leadership with business case development, innovation, thought leadership and team initiatives

• Hands‑on experience (5+ years) in Databricks and AWS cloud services
• Certified AWS and Databricks Architect or developer

• Databricks:
  Architect/developer certification; experience with Autoloader, Delta Live Tables (DLT) pipelines, Expectations Framework and Databricks Asset Bundles
• Cloud:
  Architect or developer certification; hands‑on experience with AWS services such as S3, EC2, ECS, EKS, EMR, Aurora, Lambda, CDK, AWS App Sync and Amplify (or equivalent Azure or GCP services)
• Programming
  
  Languages:
  
  Proficiency in Python, Bash or Java
• Dev Ops:
  Experience with Azure Dev Ops, Git, Git Hub Actions, Jenkins, CDK and Terraform
• Web Application Development:
  
  Experience with React or Angular
  
  JS, Type Script, REST APIs and GraphQL
• Containerization:
  Experience with Docker and Kubernetes

• Bachelor’s or Master’s degree in Business Analytics, Computer Science, IT or related field with academic excellence
• 5+ years of consulting experience leading large‑scale technology implementations
• 5+ years of hands‑on development experience in data engineering – batch and streaming architecture…