Data & Analytics Engineer – Commercial Pharma

Location not identified

Pay: Pay not listed
Work setting: Remote — work setting source
This is a remote position. KEY RESPONSIBILITIES
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Apply at SRM Technologies

What you’ll work on

Full posting

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
Implement data quality and source-to-target validation checks
Create marts, semantic layers and standardized KPI logic

From the employer’s posting

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.

Implement data quality and source-to-target validation checks

Create marts, semantic layers and standardized KPI logic.

What you’ll bring

All qualifications

Core experience

5 to 8+ years in analytics or data engineering
Advanced SQL on large commercial datasets
Python for processing, validation and automation
Strong ETL/ELT development; dbt or similar
Snowflake, Databricks or comparable platforms

Qualification wording

5 to 8+ years in analytics or data engineering

Advanced SQL on large commercial datasets

Python for processing, validation and automation

Strong ETL/ELT development; dbt or similar

Snowflake, Databricks or comparable platforms

Tools in this posting

Python
SQL
Databricks
dbt
Snowflake

Source

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

Posting record

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Status in our records: Live
First seen by us: Sep 8, 2026 · 51 days ago
Recorded sightings: 62
Last seen by us: Oct 29, 2026

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Your next step

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Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

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

Source details

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Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Location not supplied.
This is a remote position. KEY RESPONSIBILITIES
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at careers.srmtech.com ↗Read the full description ↓

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