Senior Scientific Data Engineer — Flexible AI Lab Integrations

TetraScience, Inc.; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Stock options

Employer-paid benefits for employees &

401(k)

Unlimited PTO

Flexible working arrangements

Life Insurance

Job summary

TetraScience, Inc. is seeking a senior, hands-on Data Engineer to join its forward deployed teams. You will work with biotech and pharmaceutical customers to design, build, and ship integrations on Tetra OS, mentoring others and collaborating with Product Managers and Solution Architects.

You will lead data pipelines, schemas, and parsers across diverse data sources, in cloud, on-prem, and hybrid environments, driving quality and delivery excellence.

Qualifications

• 8+ years building data products as a Data Engineer or in a similar field.
• 8+ years Python and SQL with 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

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.

Skills

Data engineering

Python

SQL

JavaScript/TypeScript

Node

React

AWS

Communication

Tools

CI/CD

Git

AWS CLI

S3

Lambda

ECS

SQS

SNS

CloudWatch

Job description

TetraScience, Inc. is seeking a senior, hands-on Data Engineer to join its forward deployed teams. You will work with biotech and pharmaceutical customers to design, build, and ship integrations on Tetra OS, mentoring others and collaborating with Product Managers and Solution Architects.

You will lead data pipelines, schemas, and parsers across diverse data sources, in cloud, on-prem, and hybrid environments, driving quality and delivery excellence.