Engineer

• Architect, build, and optimize data solutions that support Thermo Fisher Scientific’s digital transformation strategy
• Build connections and workflows within cloud-based systems
• Develop and deploy scalable data pipelines and ETL/ELT processes using Databricks
• Engineer robust data solutions to integrate enterprise data sources, including ERP, CRM, laboratory, and manufacturing systems
• Implement and maintain high-performance data connections across Databricks, Snowflake, and Iceberg environments
• Author and optimize complex SQL queries, transformations, and data models for analytics and reporting use cases
• Support data Lakehouse and data mesh initiatives to enable seamless access to trusted data across the organization
• Apply data governance, lineage, and security controls using Unity Catalog, Delta Live Tables, and related technologies
• Partner with compliance and cybersecurity teams to uphold data privacy, GxP, and regulatory standards
• Establish monitoring, auditing, and optimization processes for ongoing data quality assurance
• Collaborate with data scientists, architects, and business partners to build and implement end-to-end data solutions
• Serve as a technical mentor and leader within the CRG data engineering community
• Contribute to critical initiatives for digital platform modernization and advanced analytics enablement

Senior Databricks Engineer

Cyber Splunk Engineer

Senior Forward Deployed Engineer

Process Engineer – Service Delivery

Engineer IV

Lead Field Services Engineer – Manipulator Crane Operator