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7 дней назад

Senior Data Engineer (AI)

140 000 - 200 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (AI): Building bidirectional scientific data integrations, schemas, parsers, and full-stack data applications for biotech, pharmaceutical, and laboratory workflows with an accent on Python, TypeScript, AWS, and AI-driven engineering. Focus on deploying and troubleshooting solutions across cloud, on-premises, and hybrid environments, automating quality through testing, and leading customer-facing delivery.

Location: Remote within the United States, with listed locations in Boston, Massachusetts and New York, New York

Salary: $140,000–$200,000 USD annually

Company

hirify.global builds Tetra OS, an operating system for scientific intelligence that helps life sciences companies turn fragmented scientific data into AI-native assets and workflows.

What you will do

  • Act as a forward deployed engineer for biotech, pharmaceutical, and scientific customers, owning technical relationships and delivering solutions for scientific workflows.
  • Design and build AI-driven bidirectional integrations with ELN, LIMS, MES, and process historian systems using serverless pipelines, stateful connectors, Python, and TypeScript.
  • Build data schemas and parsers for scientific data from laboratories, manufacturing, CROs, CDMOs, and instruments across structured files and vendor-specific binary formats.
  • Deploy and test solutions across cloud, on-premises, and hybrid customer environments, troubleshooting issues across the full stack.
  • Collaborate with product managers, solution architects, business analysts, data architects, and ML engineers to deliver commercial data products.
  • Lead design sessions, quality improvements, test automation, Agile delivery, and mentorship for junior scientific data engineers.

Requirements

  • 8+ years building data products as a data engineer or in a similar role.
  • 8+ years using Python and SQL for data, integrations, and scientific applications.
  • Expertise in Python and working knowledge of JavaScript, TypeScript, Node, and React.
  • Experience leading customer-facing implementation projects and managing requirements, timelines, and delivery milestones.
  • Experience with non-clinical data, laboratory scientists, biotech or pharmaceutical environments, and regulated settings such as GxP.
  • Familiarity with networking, CI/CD, full-stack development, and AWS services including S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.

Culture & Benefits

  • Remote and flexible working arrangements.
  • Stock options in a venture-backed Series C company.
  • 100% employer-paid benefits for eligible employees and immediate family members.
  • 401(k), unlimited paid time off, and company-paid life, LTD, and STD insurance.
  • Culture centered on customer impact, technical ownership, urgency, mentorship, and continuous improvement.

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