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2 часа назад

Data Engineering Leader (AI)

180 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineering Leader (AI): Leading Scientific Data Engineer teams and building AI-native data schemas, parsers, pipelines, and productized solutions for pre-clinical scientific data with an accent on Python libraries, data quality, and customer-focused delivery. Focus on using LLMs to process complex laboratory data formats, designing tested data models and pipelines, and coordinating cross-functional implementation projects through production release.

Location: Cambridge, Massachusetts, United States; Workplace: Hybrid

Salary: $180K–$230K USD per year

Company

hirify.global develops scientific data and AI solutions, including a collaborative scientific data and AI cloud and lab data management products designed to improve scientific outcomes.

What you will do

  • Lead and manage a team of Scientific Data Engineers, including career development and performance management.
  • Build data models, prototypes, schemas, parsers, and production solutions for pre-clinical data from laboratories, manufacturing, CROs, CDMOs, ELNs, and LIMS.
  • Use LLMs to process diverse scientific data formats, including spreadsheets, PDFs, text files, raw instrument data, FID files, and vendor-specific binaries.
  • Develop reusable Python libraries, high-quality data pipelines, data applications, reports, and dashboards using Python, React, Streamlit, and Jupyter notebooks.
  • Lead design sessions, manage requirements and delivery milestones, and coordinate customer-focused implementation projects with product, scientific business, and solutions teams.
  • Improve product quality and developer experience through unit testing, integration testing, Agile delivery, and process improvements.

Requirements

  • 10+ years of experience building solutions as a Data Engineer or in a similar field.
  • 10+ years of experience working with Python and SQL, focused on data.
  • Experience managing engineering teams with five or more direct reports.
  • Experience leading projects, managing requirements, timelines, delivery milestones, and multiple cross-functional customer implementations.
  • Strong communication skills, attention to detail, technical product understanding, and confidence managing project delivery.
  • This position is not eligible for visa sponsorship.

Nice to have

  • Experience with data plotting and dashboarding tools such as React or Streamlit.
  • Experience working with pre-clinical data and laboratory scientists.

Culture & Benefits

  • Employer-paid benefits for eligible employees and immediate family members.
  • 401(k) plan.
  • Unlimited paid time off.
  • Company-paid life insurance and short- and long-term disability insurance.
  • Culture centered on transparency, trust, collaboration, resilience, customer alignment, craft, and equality of opportunity.

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