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Senior Scientific Data Engineer

TetraScience

Skills

Required

  • integrations
  • Python
  • JavaScript
  • TypeScript
  • Node
  • React
  • networking
  • CI/CD
  • full stack development
  • SQL
  • building data products

Preferred

  • Lead internal design sessions
  • cloud engineering
  • AWS
  • S3
  • Lambda
  • ECS
  • SQS
  • SNS
  • EC2
  • CloudWatch

Join TetraScience as a Senior Scientific Data Engineer, where you will work directly with biotech, pharmaceutical, and scientific companies to bring advanced data and AI technologies into their labs. You will design, build, and ship integrations and data products on Tetra OS, mentor other scientific data engineers, and partner with Product Managers and Solution Architects. You will also drive AI agents to design and build bidirectional integrations, comprehensive data schemas, and deploy and test solutions in customer environments.

Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers, owning the technical relationship and delivering solutions that move their programs forward.

Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems, including serverless push and pull pipelines, stateful connectors, and full stack data applications.

Responsibilities

  • Lead internal design sessions, mentor other scientific data engineers, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions.
  • Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch
  • History leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery milestones

Requirements

  • Expertise in Python and working knowledge of JavaScript, TypeScript, Node, and React

Familiarity with networking, CI/CD, and full stack development

  • 8+ years working in Python and SQL with a focus on data, integrations, and scientific applications
  • Ability to quickly understand a highly technical product and communicate effectively with customers, product management, engineering leadership
  • Excellent communication skills, attention to detail, and the confidence to take control of project delivery
  • 8+ years building data products as a Data Engineer or in a similar field
  • Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP
  • Experience working with non-clinical data and lab scientists

Pay

USD 140,000 - 200,000