Senior Scientific Data Engineer

TetraScience is hiring a Senior Scientific Data Engineer to bring data and AI technologies into biotech, pharmaceutical, and scientific labs. The role builds and delivers integrations and data products on Tetra OS, works directly with customer teams, and provides technical leadership and mentorship.

Responsibilities:

• Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward
• Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript
• Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries
• Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks
• Work with product managers, solution architects, business analysts, data architects, and ML engineers to understand business requirements, recommend outcomes, and build best-in-class data products based on consensus
• Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors
• Lead process and technology improvements supporting product quality, developer experience, and platform capabilities
• Rally the team to finish Agile sprint commitments. Actively surface team inefficiencies and resolve them
• Drive results. Bring pragmatic urgency to resolving blockers and unclear requirements, and make things happen
• Provide mentorship to junior scientific data engineers and show leadership on every front

Requirements:

• 8+ years building data products as a Data Engineer or in a similar field
• 8+ years working in Python and SQL with a focus on data, integrations, and scientific applications
• Expertise in Python and working knowledge of JavaScript, TypeScript, Node, and React
• History leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery milestones
• Experience working with non-clinical data and lab scientists
• Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP
• Familiarity with networking, CI/CD, and full stack development
• Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch
• Excellent communication skills, attention to detail, and the confidence to take control of project delivery
• Ability to quickly understand a highly technical product and communicate effectively with customers, product management, engineering leadership