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Senior Data Engineer (Fully Remote)

talenthop • United States
Full Remote
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Designs and optimizes data pipelines for analytics and ML workloads in healthcare. Focuses on data modeling, ETL/ELT, performance tuning, and governance. Requires 5+ years of experience in SQL, Python, and cloud environments (Azure/AWS/GCP).

Key Highlights
Fully remote role in healthcare industry
Focus on data pipelines, ETL/ELT, and data modeling for analytics/ML
Requires 5+ years of experience in SQL, Python, and cloud environments
Key Responsibilities
Develop and optimize data models and schemas for analytics, reporting, and machine learning
Design and build ETL/ELT data pipelines to process large datasets from multiple sources
Implement performance tuning, partitioning, and clustering to optimize queries and reduce costs
Establish and enforce data quality standards, governance frameworks, and security policies
Collaborate with data scientists and analysts to integrate data solutions with BI tools and models
Document data pipelines, workflows, and processes; mentor junior engineers
Design and architect data infrastructure for analytical workloads
Apply knowledge of data warehousing, dimensional modeling, and data marts
Technical Skills Required
SQL Python Cloud Environments (Azure/AWS/GCP)
Benefits & Perks
Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Nice to Have
Experience with machine learning workflows on GCP
Experience with healthcare data, including Tuva or OMOP models
Bachelor's degree or equivalent specialized training

Job Description

This is a Fully Remote Job

About Our Client:

The organization operates in the healthcare industry, aiming to improve individual health experiences through connected, convenient, and compassionate services. It addresses challenges in healthcare delivery by simplifying care for individuals, families, and communities, emphasizing accountability, safety, and quality.

About the Opportunity:

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