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.
You’re good at:
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
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Supporting data quality, integrity, and consistency across platforms
Troubleshooting and resolving issues in both data pipelines and API workflows
You have:
A Bachelor’s degree in Computer Science or related field (or equivalent experience)
6+ years of experience in data engineering and REST API development
Must have experience with Databricks or Spark-based platforms
Experience with Python, including hands on knowledge of PySpark
Experience with data pipelines, delta lakes, and data warehouses
Experience in developing RESTful APIs using microservices architecture
Understanding of API security, authentication, and authorization including OAuth2
Strong experience with SQL, including complex joins and performance tuning
Experience with data pipelines, delta lakes, and data warehouses
Experience with AWS services like S3, Athena, Redshift, API Gateway, Lambda, Route 53, IAM, CloudWatch, and ECS/EKS
Strong knowledge of Git based development workflows and CI/CD pipelines and tools such as Terraform
Experience with Docker and Kubernetes based deployments
Familiarity with Node.js or similar backend technologies
Experience integrating with Oracle databases or other enterprise systems via APIs
Ability to analyze and troubleshoot large, complex datasets and integration issues
Strong written and verbal communication skills
Ability to embrace Thermo Fisher Scientific values of Integrity, Intensity, Innovation, and Involvement
You may also have:
Experience in Life Science or Service organization
Exposure to event-driven architectures (Kafka, webhooks)
Experience working with visualization tools such as Microsoft Power BI
5 reasons you’ll want to work at Thermo Fisher Scientific:
What you do every day will be meaningful You’ll have the opportunity to define your path You’ll work with purpose You can share our passion for doing things the right way You’ll be able to realize your best
As the world leader in serving science, we empower our people to advance innovative technologies, develop meaningful solutions, and build rewarding careers. Each one of our 125,000 extraordinary minds have a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer.
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.
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