Interns will design, develop, and optimize cloud-based workflows and data processing applications using technologies like Python, AWS, and Elasticsearch. Responsibilities include developing Python applications, building data pipelines, supporting cloud deployments, and analyzing various data types.

Data Engineer building analytics solutions for Biologics at Thermo Fisher Scientific

The Principal Data Engineer will lead and manage the Data Engineering team to strategically enable scientists by developing, curating, and maintaining critical data assets for pharmaceutical research. Key duties include integrating and curating data from research systems, managing and improving the Vertex Data Platform solutions, and overseeing the team to ensure reliable data workloads.

The ETL Data Migration Validation Engineer will independently validate large-scale data migrations across platforms using complex SQL queries, focusing heavily on reconciliation strategies like set-based comparisons to ensure accuracy and integrity of over 100K records. Responsibilities also include validating schema alignment, transformation logic, and operating objectively from development teams to document findings and provide risk-based recommendations.