$140000 - $200000
Join TetraScience , the Scientific Data and AI Company behind Tetra OS , an operating system for scientific intelligence that helps leading life sciences organizations transform fragmented scientific data into AI-native assets and workflows. This is a full-time Senior Scientific Data Engineer opportunity focused on scientific data engineering, AI-enabled data processing, Python development, and large-scale data integration solutions. Location: [Confirm: location/work arrangement needed] .
This is an opportunity to lead a highly visible Scientific Data Engineering team and help build the foundation of TetraScience's data engineering platform. The ideal candidate thrives in a fast-paced environment, enjoys mentoring engineers, partnering with product and solution teams, and delivering mission-critical customer solutions. You'll work at the intersection of scientific data, AI, cloud-scale data engineering, and life sciences innovation while influencing architecture, quality standards, and team growth.
Required Skills & Experience
· 8+ years of experience building data products as a Data Engineer or related professional
· 8+ years of hands-on experience with Python and SQL focused on data engineering
· Experience leading projects, gathering requirements, and managing timelines
· Experience managing multiple customer-focused implementation projects across cross-functional teams
· Experience building sustainable delivery processes and managing project milestones
· Strong communication skills and attention to detail
· Ability to quickly understand complex technical products and collaborate effectively with product and engineering teams
· Experience designing and implementing data models, data pipelines, and integration solutions
· Proven ability to mentor junior engineers and provide technical leadership
Desired Skills & Experience
· Experience with dashboarding and application development using React and/or Streamlit
· Experience working with pre-clinical data, laboratory systems, and scientific stakeholders
· Experience with AI-assisted schema development and data parsing workflows
· Experience building reusable Python libraries and productized data-engineering solutions
· Exposure to ELN, LIMS, CRO, CDMO, manufacturing, and R&D laboratory data environments
What You Will Be Doing
Tech Breakdown
· Python & SQL Data Engineering
· Scientific Data Modeling & Integration
· AI-Assisted Schema Development & Data Parsing
· Dashboard & Application Development (React, Streamlit, Jupyter)
· Architecture, Leadership & Mentoring
Daily Responsibilities
· Design and build scientific data pipelines, integrations, and reusable data products
· Collaborate with Product Managers and Solution Architects to define requirements and solutions
· Build schemas, parsers, and integration frameworks for scientific and laboratory data sources
· Lead technical design sessions and architectural decisions
· Mentor junior Scientific Data Engineers and improve team delivery practices
· Ensure quality through testing, code reviews, and engineering best practices
· Support customer implementations and validate business outcomes
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.