Senior Healthcare Data Engineer – Cloud Data Platforms

Deloitte France; Fresno (CA); On-site; USD 127,000 - 150,000; Full time

Job summary

Deloitte Consulting is seeking a Healthcare Data Engineer Sr. Consultant to design, develop, and implement scalable healthcare data platforms and integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains.

Ideal candidates will have 10+ years of consulting experience, strong analytics, and the ability to lead projects while delivering cloud-based data solutions using Azure Databricks, PySpark, Python, and AWS services.

Qualifications

• 10+ years of overall consulting experience.
• 6+ years in healthcare with Medicare knowledge.
• Requirements gathering and stakeholder coordination.
• Bachelor's degree or equivalent IT discipline.
• Limited immigration sponsorship may be available.
• Ability to travel 10% on average.

Responsibilities

• Lead design, development, and operation of scalable healthcare data platforms and integration pipelines.
• Deliver cloud-based data products using Azure Databricks, PySpark, Python, and AWS services.
• Collaborate with teams and manage multiple tasks in a fast-paced environment.
• Provide clear guidance and communicate effectively with stakeholders.

Skills

Independent work

Written communication

Verbal communication

Attention to detail

Relationship building

Project leadership

Time management

Interpersonal skills

Deadline management

Education

Bachelor's degree in CS/IT/Engineering

Tools

Azure Databricks

PySpark

Python

AWS services

Teradata Vantage

Informatica

Airflow

GitHub

Azure DevOps

Job description

Deloitte Consulting is seeking a Healthcare Data Engineer Sr. Consultant to design, develop, and implement scalable healthcare data platforms and integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains.

Ideal candidates will have 10+ years of consulting experience, strong analytics, and the ability to lead projects while delivering cloud-based data solutions using Azure Databricks, PySpark, Python, and AWS services.