Staff Engineer, Data

Work Schedule

Environmental Conditions

Job Description

Do you have a passion for innovative ideas and groundbreaking discoveries With over $1 billion invested annually in R&D at Thermo Fisher Scientific youll help to solve some of the worlds 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.

As a member of an international team of scientists software developers and engineers youll own the data foundation the rest of the team builds on. Where our analysts focus on what the data means you make that work possible by designing the platform that ingests stores and serves our process and telemetry data reliably and making it ready for both people and AI agents to use.

Daily Challenges

- 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.

Knowledge Skills Abilities

This is a senior role but you dont need to tick every box. Bring the fundamentals and the curiosity and well grow the rest together. You should have:

- 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

Bonus points or things youll be keen to learn here:

- Containers and orchestration: Docker Kubernetes

- PostgreSQL and lakehouse table formats such as Iceberg or Delta

- Object stores for microscope-generated images particularly MinIO

- Pipeline and streaming tools: Apache Spark Apache NiFi Airflow Kafka

- Data governance: IAM RBAC cataloging lineage and compliance

- AI engineering: embeddings vector databases RAG MCP and agentic workflows

- Infrastructure as Code (Terraform) and observability (OpenTelemetry Prometheus Grafana Loki)

Technologies we use

- Python 3 SQL PostgreSQL

- Linux shell scripting

- Docker Kubernetes Terraform

- Apache Spark Apache NiFi Kafka

- Iceberg / Delta lakehouse MinIO object storage

- OpenTelemetry Prometheus Grafana Loki

- GitHub CI/CD JIRA Confluence

Our Mission is to enable our customers to make the world healthier cleaner and safer. As one team of 100000 colleagues we share a common set of values - Integrity Intensity Innovation and Involvement. #StartYourStory at Thermo Fisher Scientific where diverse experiences backgrounds and perspectives are valued.