Data Engineer

Work Schedule

Environmental Conditions

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

Job Title: Data Engineer – Pharmaceutical CDMO

Location: [Insert Location]

About the Role

Join our pharmaceutical CDMO as a Data Engineer and help transform how data fuels innovation, compliance, and scientific progress. You’ll design and maintain modern data pipelines that power decisions across research, manufacturing, and quality operations.

What You’ll Do

• Build and maintain scalable data pipelines to connect systems like LIMS, MES, and EHR.
• Integrate and transform structured and unstructured data to enable advanced analytics.
• Ensure accuracy and integrity through automated validation, cleansing, and monitoring.
• Develop and optimize data architecture, including lakes, warehouses, and marts.
• Collaborate with scientists, analysts, and IT to translate business needs into technical designs.
• Implement governance frameworks that meet GxP, GCP, and HIPAA standards.
• Use cloud platforms (AWS, Azure, or GCP) and orchestration tools (Airflow, dbt, or Spark) to streamline operations.
• Document pipelines and maintain clear data lineage for transparency and audit readiness.
• Stay current with emerging data technologies to drive continuous improvement.

What You Bring

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative field.
• 4+ years of experience as a Data Engineer, preferably in pharma, biotech, or healthcare.
• Proficiency in Python, SQL, and cloud data services such as Snowflake, Redshift, or BigQuery.
• Familiarity with NoSQL and relational databases and streaming tools like Kafka.
• Experience with metadata management, data governance, and security practices.
• Strong collaboration and communication skills to work across business and technical teams.

Nice to Have

• Experience with ML pipelines and AI integration.
• Knowledge of CDISC, SDTM, or other clinical data standards.
• Exposure to DevOps, Docker, or Kubernetes.

Why Join Us

At our CDMO, your work helps accelerate drug development and improve patient outcomes. You’ll collaborate across science, technology, and manufacturing to create real impact. We offer learning opportunities, cross-functional exposure, and a culture that rewards curiosity and innovation. Ready to engineer data that drives discovery?

Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.

Apply today! http://jobs.thermofisher.com

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Accessibility/Disability Access

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