Data Engineer-Consultant- AI$E

Deloitte•Jericho, NY

2d•Onsite

About The Position

Deloitte is hiring an experienced Data Engineer Consultant for its Project Delivery Talent Model, a model tailored to long-term, onsite client service delivery with limited travel. The role is focused on healthcare data engineering and business intelligence, including the design and delivery of enterprise data integration, ETL, and data warehousing solutions across Teradata, Databricks, AWS, and Informatica environments. The position requires healthcare data experience covering claims, payments, premiums, billing, and financial reporting, along with strengths in data validation, business requirements, production delivery, and stakeholder collaboration. As a technical lead, the consultant will design, develop, and operationalize scalable healthcare data platforms and integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains. The consultant will communicate with engagement managers, project team members, and representatives of functional and technical teams, escalating matters that need engagement-management attention. The role is part of Deloitte AI & Engineering, which develops and operates integrated sector solutions across software, data, AI, networks, and hybrid cloud infrastructure. The AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help clients grow and scale their capabilities.

Requirements

At least 4 years of experience designing healthcare data platforms.
Deep knowledge of Cigna Medicare business.
Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Experience designing and delivering enterprise data integration, ETL, and data warehousing solutions across Teradata, Databricks, AWS, and Informatica environments.
Healthcare experience supporting claims, payments, premiums, billing, and financial reporting data.
Strengths in data validation, business requirements, production delivery, and stakeholder collaboration.
Ability to travel an average of 10%, based on the work performed and the clients and industries or sectors served.

Nice To Haves

Ability to manage multiple projects and prioritize tasks into manageable work products.
Ability to operate independently or with minimum supervision.
Excellent written and communication skills.
Ability to deliver technical demonstrations.

Responsibilities

Design, develop, and operationalize scalable healthcare data platforms.
Design and develop integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains.
Communicate regularly with engagement managers, project team members, and representatives of functional and technical teams.
Escalate matters requiring additional attention and consideration from engagement management.
Deliver healthcare data engineering and business intelligence solutions, including enterprise data integration, ETL, and data warehousing.