Senior / Principal Data Infrastructure Engineer

The role

You will design, build, and own data systems to make proteomics data discoverable, trustworthy, and usable. You will develop production-grade data infrastructure and automated workflows for machine learning scientists and biology teams.

What you will do

• Design and implement the core data platform for proteomics data.
• Define and drive the technical roadmap for data infrastructure.
• Build automated workflows across proteomics research environments.
• Integrate instruments, pipelines, and LIMS for data capture.
• Develop and operate robust data pipelines using workflow orchestration tools.
• Design and maintain cloud-based infrastructure using infrastructure-as-code and CI/CD.
• Establish standards for data integrity, lineage, traceability, and consistency.
• Partner with proteomics, chemistry, biology and machine learning teams.
• Set engineering standards through code review and design review.
• Mentor engineers and scientists informally.

Required qualifications

• Bachelor's degree in Computer Science, Data Engineering, Computational Biology, Proteomics, or a related technical field
• 8+ years of hands-on experience in data infrastructure, data engineering, informatics, or related fields
• Proven track record of independently designing, building, and operating terabyte-scale data systems in a biotech or life sciences environment
• Demonstrated ability to set technical direction and deliver complex projects with minimal oversight
• Expertise in cloud infrastructure (e.g., AWS, Azure), Kubernetes, and infrastructure management as code tools (CFN, CDK, Terraform, ARM)
• Deep understanding and experience of data modeling with database and data warehouse systems (e.g., Postgres, Redshift, Snowflake)
• Strong familiarity with lakehouse and medallion-style architectures (e.g., Delta Lake, Iceberg)
• Experience with data pipeline architecture and workflow orchestration (e.g., Flyte, Dagster, Airflow), including APIs, schedulers, and software integration
• Strong proficiency in Python, SQL
• Comfortable with R
• Hands-on experience with DevOps, software design lifecycle (SDLC), and automation tools (e.g., Terraform) and CI/CD practices
• Strong written and verbal communication skills

Nice to have

• Advanced degree
• Experience in proteomics, bioinformatics, or other biotech environments
• Experience using LLMs and agentic tooling (e.g., Claude, Model Context Protocol servers)
• Experience with mass spectrometry and/or NGS data sets and biomarker discovery workflows
• Experience with LIMS and data management systems (e.g., Dotmatics, CORE LIMS)
• Familiarity with laboratory automation systems, including integration with robotic and sample management platforms

Benefits

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

About the company

Expedition Medicines is a privately held, early-stage biotechnology company pioneering the emerging field of Protein Editing. It is backed by Flagship Pioneering.