Data Engineer

• Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers.
• Own the technical relationship, understand customer scientific workflows, and deliver solutions that move programs forward.
• Design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians.
• Build serverless push and pull pipelines, stateful connectors, and full-stack data applications in Python and TypeScript.
• Design and build data schemas and parsers for scientific data from laboratory, manufacturing, CRO, CDMO, ELN, and LIMS sources.
• Deploy and test solutions in cloud, on-premises, and hybrid customer environments.
• Troubleshoot across the full stack.
• Collaborate with product managers, solution architects, business analysts, data architects, and ML engineers.
• Create and enforce designs supported by comprehensive test automation.
• Lead process and technology improvements for product quality, developer experience, and platform capabilities.
• Rally the team to complete Agile sprint commitments and resolve inefficiencies.
• Resolve blockers and unclear requirements with pragmatic urgency.
• Mentor junior scientific data engineers and provide leadership.

Explore Senior Scientific Data Engineer at TetraScience. Review requirements and application details.

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