Techno-Functional Data Engineer ( Commercial SME)

Overview

Remote
$40 - $50
Contract - Independent
Contract - W2

Skills

Patient Data
LAAD
Life Sciences industry

Job Details

Looking for more of commercial data SME. Experience in commercial operations within the Life Sciences industry, with expertise in areas like Sales, Marketing, Incentive Compensation (IC), Patient Data, LAAD, and Claims who have more business operations.

Required Skills & Qualifications:

Experience:
8+ years of experience in commercial operations within the Life Sciences industry, with expertise in areas like Sales, Marketing, Incentive Compensation (IC), Patient Data, LAAD, and Claims.
5+ years of experience in Data Engineering, including hands-on experience with cloud platforms (preferably Azure), and a strong background in managing and analyzing large datasets.
Proven track record of developing and deploying data solutions that support commercial business functions in Life Sciences.

Technical Expertise:
Proficiency in Azure Data Services (e.g., Azure Data Lake, Azure SQL, Azure Databricks, Azure Synapse).
Expertise in SQL, Python, or other relevant data engineering languages for building data models, pipelines, and reports.
Strong understanding of data warehousing, ETL processes, and data lake architectures.
Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms for visualization and reporting.

Domain Knowledge:
Extensive understanding of Life Sciences commercial functions, including Sales, Marketing, Incentive Compensation (IC), Claims, Patient Data Management, and Longitudinal Access and Adjudication Data (LAAD).

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