Senior Data Engineer

About the Position

We are looking for a Senior Data Engineer to support the development and maintenance of ETL pipelines that process and deliver patient-level data for clinical and operational use. In this role, you will work closely with clinical data analysts and cross-functional stakeholders to ensure reliable data extraction, transformation, and delivery within an AWS-based environment.

Responsibilities

• Create ETL pipelines in code and link them up to internal tooling
• Monitor CI/CD processes to ensure ETL pipelines continue to run smoothly
• Coordinate with clinical data analysts to queue patient-based data extraction
• Collaborate with clinical data analysts to ensure the data meets quality standards
• Handle ad-hoc requests from CSS folks about the patient-level data
• Package and deliver the outputs of ETL pipelines to AWS S3 for client access
• Context switch between multiple ETL pipelines and CSS stakeholders
• Make recommendations on code and process efficiency improvements
• Collaborate effectively with other engineers through the use of Git and merge requests (or similar version control tools)

Requirements

• Bachelor's degree in Computer Science
• Development experience with programming languages
• Experience with SQL database
• 4+ years of experience with Python
• Experience with CI/CD
• Experience with Redshift
• Experience with AWS environment
• Experience with at least one ETL tool
• Experience communicating effectively with non-technical stakeholders
• Advanced English Level

We Offer

• Competitive salary
• 100% remote opportunity
• Opportunities for professional growth and advancement
• A collaborative and innovative work environment
• Support for participation in professional development opportunities (webinars, conferences, trainings, etc.)
• Regular team-building activities and bi-annual company-wide events
• Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval)
• Benefits may vary depending on your location and position. Full details will be provided during the interview process.

Job ID

JR-159779