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3 дня назад

Staff Data Engineer (AI)

153 000 - 195 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/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

Staff Data Engineer (AI): Maintaining and improving data infrastructure, ensuring robust and efficient data pipelines for both internal and external stakeholders with an accent on strategic decision-making about tools, data organization, and optimization methods. Focus on uninterrupted data flow across the platform and supporting the analytics needs of clients and internal teams.

Location: Hybrid office locations in Santa Barbara, CA, and Philadelphia (Wayne), PA. Remote is available within the following hiring hubs: Boston Metro Area, MA; Chicago Metro Area, IL; Denver Metro Area, CO; Kansas City Metro Area (KS/MO); Los Angeles Metro Area, CA; San Francisco / Bay Area, CA; Seattle Metro Area, WA.

Salary: $153,000 - $195,000 a year

Company

hirify.global, a SaaS leader in digital health, transforms patient experience with AI-powered virtual agents for every step of the patient journey.

What you will do

  • Maintain and elevate hirify.global’s data infrastructure, ensuring peak performance and dependability.
  • Drive the decision-making process for the selection and implementation of data tools and technologies.
  • Design and refine data pipelines to ensure smooth and efficient data flow.
  • Partner with cross-functional teams to develop new data requirements and refine existing processes.
  • Provide mentorship to junior engineers, supporting their growth and assisting with complex projects.
  • Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level agreements.

Requirements

  • 7+ years of experience in a Data Engineering role or equivalent.
  • Proven experience with Kubernetes and Cloud infrastructure (AWS preferred).
  • Strong proficiency in Python and SQL for data processing and automation.
  • Expertise in orchestration tools such as Dagster and Docker.
  • Understanding of performance optimization and cost-effectiveness in Snowflake.
  • Demonstrated ability to build and maintain complex data pipelines and data flows.

Nice to have

  • Knowledge of DBT & Meltano.
  • Bachelor’s Degree in STEM preferred (additional experience is also accepted in lieu of a degree).

Culture & Benefits

  • Full health benefits (medical, dental, and vision), flexible spending accounts, company paid life insurance, company paid short-term & long-term disability, company equity, voluntary benefits, 401(k) and more.
  • Manager development cohorts, employee development funds.
  • Company holidays, Winter & Summer break, and flexible time off.
  • Employee Resource Groups (ERGs).

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