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.
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.