Senior Scientific Data Engineer

TetraScience builds integrations and data products for biotech, pharmaceutical, and scientific teams, and this role places a senior engineer on forward deployed teams working with customers to deliver outcomes. You will design, build, and ship solutions on Tetra OS, while partnering with cross-functional teams to improve data workflows and platform capabilities.

Compensation: $140,000 - $200,000 per year. Location: New York, NY (onsite).

Why you will like working here

• Competitive compensation aligned with senior technical scope
• Stock options in a VC-backed Series C company
• 100% employer-paid benefits for eligible employees and immediate family members
• 401(k)
• Unlimited paid time off (PTO)
• Flexible working arrangements
• Company-paid Life Insurance, LTD/STD

What you will do

• Serve as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers, owning the technical relationship and aligning solutions to scientific workflows.
• Drive AI agents that 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.
• Build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, handling formats including .xlsx, .pdf, .txt, .raw, .fid, and many vendor binaries.
• Deploy and test solutions in customer environments across cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when issues arise.
• Partner with product managers, solution architects, business analysts, data architects, and ML engineers to understand requirements, recommend outcomes, and build best-in-class data products through consensus.
• Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors.
• Lead process and technology improvements that support product quality, developer experience, and platform capabilities.
• Rally the team to complete Agile sprint commitments by surfacing inefficiencies and resolving them.
• Drive results by resolving blockers and clarifying requirements with pragmatic urgency.
• Mentor junior scientific data engineers and provide leadership across ongoing delivery.

What you bring

• 8+ years building data products as a Data Engineer or in a similar role
• 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
• Experience leading customer-facing implementation projects across cross-functional teams, including requirements, timelines, and delivery milestones
• Experience 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 S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch
• Excellent communication skills, attention to detail, and confidence taking control of delivery
• Ability to quickly understand a highly technical product and communicate effectively with customers, product management, and engineering leadership

Tools you will work with

Python, SQL, JavaScript, TypeScript, Node, React, AWS (S3, Lambda, ECS, SQS, SNS, EC2, CloudWatch), CI/CD, ELN, LIMS, MES, GxP, Agile, R&D, serverless push and pull pipelines, stateful connectors