Data Engineer Sr. Consultant

As a Senior Consultant Data Engineer, you will lead the design, development, and operationalization of scalable healthcare data platforms and integration pipelines across multiple healthcare domains. The role supports delivery of cloud-based data products using defined data, ETL, and cloud technologies.

Role Focus

The position centers on creating and running healthcare data infrastructure spanning claims, payments, member, provider, eligibility, medical, and pharmacy. You will work as a senior technical contributor and lead responsibilities that support reliable operational performance and integration across domains.

Responsibilities

• Serve as a technical lead responsible for designing, developing, and operationalizing scalable healthcare data platforms and integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains.
• Act as a Senior Data Engineer supporting end-to-end platform and pipeline delivery for the same healthcare domain scope.
• Deliver cloud-based data products using Azure Databricks, PySpark, Python, AWS services, Teradata Vantage, Informatica, Airflow, GitHub, and Azure DevOps.

Requirements

• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to provide clear guidance to others.
• 10+ years of overall consulting experience.
• 6+ years in healthcare, including knowledge of Medicare business.
• Experience with requirements gathering and stakeholder coordination.
• Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related IT discipline; or equivalent experience.
• Limited immigration sponsorship may be available.
• Ability to travel 10% on average, based on work assignments and client needs.

Required Technologies

• Azure Databricks
• PySpark
• Python
• AWS services
• Teradata Vantage
• Informatica
• Airflow
• GitHub
• Azure DevOps

Compensation

USD 127,000 - 150,000 per year.

Location and Work Model

New York, NY (onsite).

Benefits

• You may be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, where an award, if any, depends on factors including individual and organizational performance.

Team Overview

AI & Data provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services.

Preferred

• Strong analytical, problem-solving, communication, stakeholder-management, offshore coordination, documentation, and knowledge-transfer skills.
• Analytical ability to manage multiple projects and prioritize tasks into manageable work product.
• Ability to operate independently or with minimum supervision.
• Excellent written and communication skills.
• Ability to deliver technical demonstrations.

Additional Information

This role is designated as a Senior Consultant Data Engineer position with a focus on scalable healthcare data platform delivery and integration pipeline operationalization.