Data Engineer-Consultant- AI$E

Deloitte•Nashville, TN

1d•Onsite

About The Position

The Data Engineer Consultant will work in Deloitte’s Project Delivery Talent Model, a model tailored for long-term, onsite client service delivery. This role is for an experienced data engineering and business intelligence professional who designs and delivers enterprise data integration, ETL, and data warehousing solutions across Teradata, Snowflake, AWS, and PostgreSQL environments. The position supports healthcare data involving claims, payments, premiums, billing, and financial reporting, with emphasis on 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 role also includes regular communication with engagement managers, project team members, and functional and technical representatives, including escalating matters requiring management attention. The position is part of Deloitte’s AI & Engineering organization, which builds, deploys, and operates solutions across software, data, AI, networks, and hybrid cloud infrastructure. Deloitte’s AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services.

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, Snowflake, AWS, and PostgreSQL environments.
Healthcare experience supporting claims, payments, premiums, billing, and financial reporting data.
Ability to travel an average of 10%, based on the work and clients and industries 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.
Analytical and decision-making skills.

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.
Design and deliver enterprise data integration, ETL, and data warehousing solutions.
Support healthcare data relating to claims, payments, premiums, billing, and financial reporting, including data validation, business requirements, and production delivery.