Senior Scientific Data Engineer

TetraScience is building forward deployed data teams for biotech, pharmaceutical, and scientific customers. This onsite role in New York, NY brings a hands-on engineer to design, build, and ship integrations and data products on Tetra OS, while owning technical relationships and mentoring other scientific data engineers.

Compensation for this position is USD 140,000 - 200,000 per year. TetraScience is a VC-backed Series C company and offers stock options, along with 100% employer-paid benefits for eligible employees and immediate family members.

What you’ll do

• Serve as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers, owning the technical relationship and delivering solutions aligned to their scientific workflows.
• Drive AI agent work to design and build bidirectional integrations between Tetra OS and customer systems including ELN, LIMS, MES, and process historians.
• Build serverless push and pull pipelines, stateful connectors, and full stack data applications using Python and TypeScript.
• Design and implement comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, handling formats such as .xlsx, .pdf, .txt, .raw, .fid, and many vendor binaries.
• Deploy and test solutions in cloud, on-premises, and hybrid customer environments, troubleshooting 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 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 complete Agile sprint commitments, surfacing team inefficiencies and resolving them.
• Provide mentorship to junior scientific data engineers and demonstrate leadership across projects.

What you bring

• 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.
• Experience 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 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 and product and engineering leadership.

Benefits

• Competitive compensation
• 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

Technologies: 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.