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5 часов назад

Data Engineer (AI)

185 000 - 217 000$
Формат работы
hybrid
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

Data Engineer (AI): Building and optimizing large-scale data infrastructure for machine learning training and business decisions with an accent on scalable data services, pipelines, and storage solutions. Focus on managing OLAP databases, ELTs, and ensuring data system throughput, latency, and reliability.

Location: Hybrid, with required office attendance in San Francisco. This role is for candidates authorized to work in and based in the US.

Salary: $185,000–$217,000

Company

hirify.global is a fast-paced, high-growth startup focused on transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways.

What you will do

  • Build and maintain scalable data services, pipelines, and storage solutions for ML training and evaluation.
  • Manage OLAP databases, ELTs, and general data tooling for analytics and product features.
  • Collaborate with frontend, backend engineers, product managers, and analysts.
  • Optimize data infrastructure for throughput, latency, and reliability.
  • Investigate and correct issues identified through data operations monitors.
  • Design data integrations and a data quality framework.

Requirements

  • 5+ years of experience in Data Engineering or Backend Engineering with a focus on data systems.
  • Proficiency in at least one general-purpose programming language (e.g., Python, Java, Scala) and SQL.
  • Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services.
  • Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types.
  • Deep knowledge of modern data infrastructure best practices.
  • Experience with distributed systems, different distributed processing frameworks, Terraform, Kubernetes, and containerization technologies.

Nice to have

  • Familiarity with deploying ML models at scale.
  • Experience in building data products that are well-modeled, documented, and easy to understand and maintain.

Culture & Benefits

  • Generous Time Off: 14 paid holidays, flexible PTO for salaried employees.
  • Comprehensive Health Plans: Medical, Dental, and Vision coverage with generous HSA contributions.
  • Paid Parental Leave and Family Forming Benefits.
  • 401(k) Matching and Pre-tax Benefits (FSA, Commuter).
  • Personal Device Allowance, Lifestyle Wallet, and Mental Health Support.
  • Paid Sabbatical Leave after 5 years of employment, with competitive compensation and equity grants.

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