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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular mid-level Data Engineer title with broad skills and metro hiring increases applicant competition.
Requires healthcare/pharma data experience and platform familiarity, limiting cross-industry transferability.
Mandatory 4+ years and specific tech stack (Python, PySpark, SQL) enforce strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and analytical datasets supporting business intelligence and advanced analytics.
Perform ETL tasks using Python, SQL, and PySpark on large healthcare datasets to generate actionable insights.
Collaborate with data science and analytics teams to prepare data for machine learning models and create dashboards using Power BI and Excel.
Minimum Requirements
4+ years of experience in data engineering, data analytics, or related roles.
Strong proficiency in Python, PySpark, and SQL.
Experience with Dataiku, Jupyter Notebook, and VS Code.
Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
Ideal Candidate Profile
Experienced working with US Commercial Healthcare Analytics, Pharmaceutical Supply Chain, Patient-level Data, or Claims Data Analytics.
Familiarity with healthcare/pharmaceutical datasets and platforms such as IQVIA, Symphony, Veeva, Komodo is a plus.
Skilled at building and optimizing data pipelines and analytical datasets in cross-functional, data-driven teams.