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Job Description

As a Sr. Consultant Data Engineer with Deloitte in New York, NY, you will lead the design, development, and operationalization of scalable healthcare data platforms and integration pipelines. The role supports cloud-based data product delivery across multiple healthcare domains, with a focus on claims, payments, member, provider, eligibility, medical, and pharmacy.

Key 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.
  • Design, develop, and operationalize scalable healthcare data platforms and integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains.
  • Deliver cloud-based data products using Azure Databricks, PySpark, Python, AWS services, Teradata Vantage, Informatica, Airflow, GitHub, and Azure DevOps.

Required Qualifications

  • 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, with knowledge in Medicare business.
  • Requirements gathering and stakeholder coordination.
  • Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on work, clients, and industries/sectors served.

Technologies

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

Team

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

Additional Preferred Skills

  • 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.

Compensation and Incentive

Salary: USD 127,000 - 150,000 per year.

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

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