Senior Scientific Data Engineer

About the role

TetraScience is seeking a Senior Scientific Data Engineer to lead the Scientific Data Engineering (SDE) Team and build Tetra Data and productizable solutions. The ideal candidate will have 8+ years of experience in data engineering, strong Python and SQL skills, and experience managing multiple customer-focused implementation projects.

Responsibilities

• Work with Product Managers and Solution Architects to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus
• Take ownership of building data models, prototypes, and integration solutions that drive customer success
• Use AI agents to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries
• Extract reusable schema components and parsing functions, and productize them into Python libraries
• Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data
• Create data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc
• Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products
• Drive value for the customers - verify the solution fulfills their requirements and provides value
• Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions
• Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them
• Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen
• Provide mentorship to junior SDEs and show leadership in every front

Requirements

• 8+ years of building data products as a Data Engineer or similar fields
• 8+ years working in Python and SQL with a focus on data
• Experience leading projects, managing requirements, and handling timelines
• Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones
• Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred
• Experience working with pre-clinical data and lab scientists is strongly preferred
• Excellent communication skills, attention to detail, and the confidence to take control of project delivery
• Quickly understand a highly technical product and effectively communicate with product management and engineering

Benefits

• 100% employer paid benefits for all eligible employees and immediate family members
• 401K
• Unlimited paid time off (PTO)
• Company paid Life Insurance, LTD/STD