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Data & Analytics Engineer – Commercial Pharma

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Work setup
Remote stated — work setup source
This is a remote position. KEY RESPONSIBILITIES
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Employment
Unconfirmed
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Tools in this posting

  • Python
  • SQL
  • Databricks
  • dbt
  • Snowflake
Source — Tool mentions in context
Data Modeling Expertise • Fact and dimension design • Star and conformed dimensions • Analytical marts and semantic layers • HCP/HCO affiliation and NPI matching Engineering & Platforms • Advanced SQL on large commercial datasets • Python for processing, validation and automation • Strong ETL/ELT development; dbt or similar • Snowflake, Databricks or comparable platforms Commercial Data Expertise

Job description

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This is a remote position.

KEY RESPONSIBILITIES
​
• Design data models across field, brand, patient, access and omnichannel • Integrate Rx/sales, claims, specialty pharmacy, hub, CRM and digital data • Develop ETL/ELT pipelines and reusable curated datasets.
Resolve HCP, product, payer, geography and territory mapping • Implement data quality and source-to-target validation checks • Create marts, semantic layers and standardized KPI logic.

QUALIFICATIONS & TECHNICAL EXPERTISE

Commercial Pharma Experience
• 5 to 8+ years in analytics or data engineering • 3+ years with pharma or biotech commercial data preferred • Sales and field effectiveness • Patient and market access analytics
Data Modeling Expertise • Fact and dimension design • Star and conformed dimensions • Analytical marts and semantic layers • HCP/HCO affiliation and NPI matching

Engineering & Platforms • Advanced SQL on large commercial datasets • Python for processing, validation and automation • Strong ETL/ELT development; dbt or similar • Snowflake, Databricks or comparable platforms

Commercial Data Expertise
• IQVIA Xponent and PlanTrak Rx • Specialty pharmacy and patient hub feeds • CRM (Veeva/Salesforce) activity

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Pay

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This is a remote position. KEY RESPONSIBILITIES
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Status in our records
Active
First seen by us
Sep 8, 2026
Recorded sightings
26
Last seen by us
Oct 1, 2026

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