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4 дня назад

Senior Analytics Engineer (AI)

190 000 - 224 000$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Senior Analytics Engineer (AI): Building scalable data models, analytics infrastructure, and front-end applications that expose analytical datasets across the enterprise with an accent on dimensional modeling, SQL performance, and AI-enabled semantic layers. Focus on designing self-serve analytics foundations, improving data observability, structuring source systems for reporting, and strengthening security, anonymization, and compliance in data warehousing.

Location: Remote U.S.; must be authorized to work in the U.S. without current or future employer sponsorship

Salary: $190,000–$224,000 base pay annually, plus equity and benefits

Company

hirify.global provides a Trust Management Platform that helps businesses continuously monitor, improve, and prove security and compliance.

What you will do

  • Design and implement complex data models for dashboards, self-serve analytics, and data science.
  • Write highly tuned, scalable SQL queries across large-scale, heterogeneous data warehouses.
  • Enable AI tooling through semantic layers and observability, and establish analytics engineering best practices.
  • Manage and improve data infrastructure supporting data-driven decision-making.
  • Help develop front-end applications that expose analytical datasets across the enterprise.
  • Partner with Product and Corporate Engineering teams to structure source systems for reporting consumption.

Requirements

  • At least eight years of experience working with data, including two years in software engineering or a related field.
  • Experience with analytics tooling such as dbt, Stitch or Fivetran, Snowflake, BigQuery, Redshift, Airflow, Dagster, Looker, Mode, or Sigma; dbt is required.
  • Strong software engineering and systems mindset, with experience building frameworks that manage data and reduce bespoke queries.
  • Deep knowledge of dimensional and fact modeling in modern data environments.
  • Experience or interest in improving developer experience for data and enabling data use across an organization.
  • Must be authorized to work in the U.S. without current or future employer sponsorship.

Nice to have

  • Interest in using AI responsibly to improve efficiency and impact.
  • Experience with security, anonymization, and compliance management for data warehouses.

Culture & Benefits

  • Industry-competitive salary, equity, and comprehensive medical, dental, and vision coverage.
  • 16 weeks of paid parental leave, family planning benefits, and a health and wellness stipend.
  • Remote workspace, internet, cellphone, and commuter benefits where applicable.
  • Flexible PTO, 80 hours of sick time, 11 company-paid holidays, and matching 401(k) contributions with immediate vesting.
  • Virtual team-building activities, lunch-and-learns, and company-wide events.
  • Offices in San Francisco, New York City, London, Dublin, Tel Aviv, and Sydney.

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