Senior Scientific Data Engineer

Role Overview

• You will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer.
• We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members.
• As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions.
• You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions.
• You will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations.
• 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.
• Build 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.
• Lead team-wide process/technology improvements on product quality and developer experience.
• 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 solutions 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.

Tech Stack

• Python
• React
• SQL

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.
• This position isn't eligible for visa sponsorship.