Senior Healthcare Data Platform Engineer

Deloitte France

Miami (FL)

On-site

USD 127,000 - 150,000

Full time

8 days ago

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Job summary

Deloitte Consulting's Healthcare Practice seeks a Sr. Healthcare Data Engineer/Consultant to lead the design, development, and operation of scalable healthcare data platforms and integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains.

The role emphasizes cloud-based data products using Azure Databricks, PySpark, Python, AWS, and related tools. Ideal candidates bring 10+ years in consulting, 6+ years in healthcare with Medicare insight, strong

Qualifications

10+ years of overall consulting experience.
6+ years in healthcare specifically 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 the work you do and the clients and industries/sectors you serve.
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.
Can operate independently or with minimum supervision.
Excellent Written and Communication Skills.
Ability to deliver technical demonstrations.
You may also be eligible to participate in a discretionary annual incentive program...
The wage range for this role takes into account the wide range of factors... a reasonable estimate is $127,000 to $150,000.

Responsibilities

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.
Lead projects or workstreams and coordinate with stakeholders across teams.
Deliver cloud-based data products using Azure Databricks, PySpark, Python, AWS services, Teradata Vantage, Informatica, Airflow, GitHub, and Azure DevOps.