Senior Data Engineer

Overview

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Position Summary:

This role is responsible and accountable for the design, development, and ongoing maintenance of scalable, high‑quality data pipelines supporting the firm’s in‑house enterprise data platform. The position works closely with US‑based business stakeholders to gather requirements, translate business needs into technical solutions, and deliver efficient, reliable data products for the US pharmaceuticals market.

The role requires strong hands‑on expertise in Python and PySpark, experience working with complex pharmaceutical datasets (including specialty pharmacy, hub, distributor, and payer data), and the ability to proactively identify performance, quality, and data integrity issues. The engineer is expected to ensure code quality, automation, and best practices, contribute to continuous improvement through learning and research, and operate in compliance with corporate quality standards and training requirements.

Duties & Responsibilities:

• Design, build, and maintain efficient, reusable, and reliable code
• Ensure the best performance and quality of applications
• Identify the issues, and provide solutions to mitigate and address these issues
• Help maintain code quality, organization, and automation
• Continuously expand body of knowledge via research
• Comply with corporate quality policies and procedures.
• Ensure all training requirements are completed in a timely manner

Desired Technical Skills & Experience:

Minimum of 4 years of experience in the following:

At least 3 years of working experience in with Data Aggregation projects (using datasets related to specialty pharmacy, hub, specialty distributor, 3PL) in US pharmaceuticals market is strongly preferred.

At least 3 years of experience in python programming and PySpark in development and maintenance of data pipelines.

Experience working with patient and/or payer data management projects.

Having advanced analytical and problem-solving skills.

Understands the business processes and business data used in US pharmaceuticals market.

Knowledge in SQL queries, Snowflake, Databricks, Azure blob storage and AWS.

Desired Soft Skills:

Excellent communication skills. Ability to communicate with business stakeholders as well as technical development teams

Excellent listening skills to understand customer needs

Excellent critical and creative thinking skills and ability to brainstorm ideas

Ability to lead meetings in place of Project Manager or Team Lead

Ability to work in a team and collaborate across teams

Ability to adapt to changing and increasing workload

Ability to assess and identify bottlenecks and potential failures

Fluency in English is required (spoken and written)