Назад
6 дней назад

Sr. Forward Deployed Engineer (Healthcare & Life Sciences)

182 000 - 250 208$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Sr. Forward Deployed Engineer (AI/Data Engineering): Building and productionizing data and AI solutions for healthcare and life sciences customers with an accent on end-to-end architecture, Spark optimization, and ML/AI integration. Focus on designing scalable production-grade systems, leading technical design decisions, and bridging the gap between complex data challenges and business impact.

Location: New York City, NY or must be located within the Central or Eastern Time Zones

Salary: $182,000 — $250,208 USD

Company

Databricks is a data and AI company providing a Data Intelligence Platform that unifies data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

  • Lead the delivery of production-grade systems, reference architectures, and custom applications for data ingestion and ML/AI integration.
  • Guide strategic customers through the end-to-end design, build, and deployment of industry-leading big data and AI applications.
  • Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with best practices.
  • Collaborate cross-functionally with engineering, product, and customer support to provide feedback and resolve technical issues.
  • Embed with customer teams and stakeholders, from technical ICs to executives, to deeply understand and solve complex challenges.
  • Develop reusable accelerators and frameworks to scale impact across accounts and influence the product roadmap.

Requirements

  • 6+ years of experience in data engineering, data platforms, analytics, or software engineering.
  • Proficiency in Python, Scala, or JavaScript/TypeScript and modern frameworks.
  • Expertise in at least one major cloud ecosystem (AWS, Azure, GCP).
  • Deep experience with Apache Spark and knowledge of its runtime internals.
  • Hands-on experience with CI/CD, MLOps, and AI APIs for production deployments.
  • Must be based in the US (Central or Eastern Time Zones) and available for 20% travel to customers.

Nice to have

  • Databricks Certification.
  • Experience managing conflicts and technical delivery across a broad range of enterprise stakeholders.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee's region.
  • Opportunity to work with the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
  • Inclusive culture committed to diversity and equal employment opportunity.
  • High-impact role combining deep engineering expertise with direct business influence.

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