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2 часа назад

Data Engineer (AI)

116 000 - 174 000$
Формат работы
onsite
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 scaling the infrastructure powering Data Science and Analytics initiatives, turning data science workflows into stable, reliable data, machine learning, and generative AI processes with an accent on establishing best practices, designing robust data models, and implementing validation frameworks. Focus on productionizing generative AI prototypes, optimizing workflows in a cloud environment, and ensuring data quality, reliability, and compliance.

Location: Santa Monica, California, United States. This position is open to U.S. citizens, U.S. permanent residents, or individuals who are currently authorized to work in the United States on a valid visa.

Salary: $116,000 - $174,000 + cash incentives

Company

hirify.global North America's Data Science team is focused on building and scaling infrastructure for data science and analytics initiatives.

What you will do

  • Design, develop, and maintain robust data, machine learning, and generative AI pipelines.
  • Productionize generative AI prototypes into secure, reliable, and repeatable workflows using DevOps practices.
  • Implement and manage CI/CD pipelines, infrastructure-as-code, testing, and monitoring for data and GenAI workloads.
  • Collaborate with IT, BI, and data science teams to ensure data models, pipelines, and GenAI services are available, scalable, maintainable, and accurate.
  • Build and maintain well-documented, structured data models and feature stores.
  • Optimize, test, and debug machine learning and generative AI workflows and pipelines in a cloud environment.

Requirements

  • 3+ years of professional experience in software development, data engineering, business intelligence, data science, or a related field.
  • Experience with data modeling, cloud data warehousing (Snowflake or Databricks), and building ETL pipelines (dbt, AWS Glue, Dagster, or Airflow).
  • Proficiency in SQL and Python, with experience building robust ETL/ELT pipelines.
  • Experience applying software engineering best practices to data engineering, including CI/CD, version control, and testing frameworks.
  • Experience working with a major cloud platform such as AWS, Azure, or Google Cloud Platform (GCP).
  • Must be open to U.S. citizens, U.S. permanent residents, or individuals currently authorized to work in the United States on a valid visa.

Culture & Benefits

  • Comprehensive Medical, Dental and Vision Plans.
  • 401k Match.
  • Family Leave, PTO & Paid Holiday Schedule.
  • Pet, Legal, and Life Insurance.
  • Tuition Reimbursement.
  • hirify.global North America, Inc. is an Equal Opportunity Employer.

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