Data Engineer (Life Sciences & Healthcare)

Company Background

Our client is a leading global provider of advanced analytics, technology solutions, and clinical research services for the life sciences industry. The company combines large-scale healthcare data with AI-powered analytics to accelerate drug development, clinical trials, and commercialization for pharmaceutical and biotech companies. It was named to Fortune’s World’s Most Admired Companies list in 2026.

Project Description

As a Data Engineer, you will play a key role in building and optimizing data pipelines that power the forecasting and analytics platforms. You’ll work across a global engineering organization, collaborating with product managers, front-end and back-end developers, and fellow data engineers.

Technologies

• Python
• SQL
• Google Cloud and AWS
• Data warehouse
• JavaScript (legacy code support)
• Snowflake

What You'll Do

• Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting;
• Work across the application stack, focusing primarily on backend data engineering;
• Ensure code quality through reviews, testing, and adherence to best practices;
• Collaborate with global engineering pods to maintain consistent coding standards;
• Mentor and guide engineers and contractors, fostering technical growth;
• Partner with product managers and peers to translate business requirements into scalable solutions;

Job Requirements

• 5+ years of experience in data engineering, including at least 2–3 years in a senior-level role;
• Proficiency in Python and SQL;
• Hands-on experience with cloud platforms: Google Cloud and AWS preferred; Azure acceptable;
• Strong understanding of data warehousing concepts; experience with BigQuery or similar technologies;
• Ability to communicate complex technical concepts clearly to peers and stakeholders;
• Bachelor’s degree in Computer Science or related field;

Nice to Have:

• Experience with JavaScript to support legacy code;
• Familiarity with Snowflake or other modern data platforms;
• Exposure to AI/ML concepts and interest in applying them to data engineering;
• Healthcare industry experience is a plus;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.