Data Engineer and API developer

Thermo Fisher Scientific Inc. is looking for a full-time Data Engineer to join our Life Sciences Solutions Group. This role is part of a global team that supports the overall growth of our Global Services and Support organization by delivering scalable, reliable data integrations and analytics solutions.

This role plays a strategic part in building and expanding foundational capabilities across Customer Support, Service Delivery functions and AI initiatives. You will design, build, and support API-driven data ingestion and data delivery pipelines, data lakes, and data warehouses across both on-prem and cloud environments, enabling actionable business intelligence through GenAI and operational reporting.

Building and supporting end-to-end data ingestion and transformation pipelines across on-prem and cloud environments

Collaborating with infrastructure, IT, and business teams to support enterprise data platform solutions

Building and maintaining API-driven integrations using AWS Lambda, API Gateway, and REST/SOAP protocols

Writing to and updating Salesforce standard and custom objects via Salesforce APIs, including creating and optimizing SOQL queries

Integrating with Oracle systems, including reading from and writing to Oracle tables through APIs or service interfaces

Assembling and consolidating datasets from systems such as SAP, Salesforce, Oracle, E1, Genesys, and Service Cloud

Developing and optimizing SQL queries for analytics and ad hoc reporting needs

Supporting data quality, integrity, and consistency across platforms

Troubleshooting and resolving issues in both data pipelines and API workflows