Staff Engineer, DataVerified as a real position

Who we’re looking for

• A collaborative mindset built on open communication, trust and shared responsibility
• A university degree in computer science, software engineering or a related field
• At least three years of professional experience in data engineering
• A solid grasp of the fundamentals: data modeling, quality, orchestration and lineage
• Comfort with Linux, shell scripting, SQL and a high-level language (preferably Python)
• Professional working proficiency in English

What you’ll do

• Build pipelines that ingest, persist, cleanse and validate process and telemetry data.
• Enable data-driven decisions to advance development of high-tech machines for the semiconductor industry.
• Design a well-governed platform with uniform access, data quality, lineage and observability by default.
• Make the department AI-ready, so agentic systems can reach our data through clean, well-described interfaces.
• Work mostly on-premise on Linux, while designing for portability so we stay hosting-agnostic.

About the position

Do you have a passion for innovative ideas and groundbreaking discoveries? With over $1 billion invested annually in R&D, at Thermo Fisher Scientific you'll help to solve some of the world's toughest challenges, from giving cancer patients hope, ensuring safe drinking water and helping law enforcement address cases through forensics. We empower our teams to put science into meaningful action and give our R&D colleagues the autonomy, resources and tools they need to take science a step beyond. Our group At Sample Prep and Analysis group (SPA), we develop and maintain the software for automation of operation of Scanning Electron Microscopes. Electron microscopy is a high-tech industry with an outsized impact across fields, from semiconductors and materials science to life sciences and medicine. Our solution is crucial for semiconductor industry to identify errors in the production of semiconductor components and advance their research and production, to make them more robust, reliable, energy efficient. We see enormous potential in generative AI to reshape how this work is done, and the person we hire will be given the chance to become part of that revolution.

Benefits

• We see enormous potential in generative AI to reshape how this work is done, and the person we hire will be given the chance to become part of that revolution.
• As a member of an international team of scientists, software developers, and engineers, you'll own the data foundation the rest of the team builds on.