Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$131к-200к/год
$160к$190кмедиана$210к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
90
Отличная вакансия
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Это четко определенная роль с высоким уровнем влияния в современной технологичной компании, с явным фокусом на AI-инфраструктуру и платформенную инженерию данных.
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Современный стекТрендовый доменAI-ориентированная культураЧеткие обязанности
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Engineer (AI): Building a scalable data platform for analytics, machine learning, and AI workloads with an accent on data pipelines, semantic layers, and LLM-powered tools. Focus on designing reliable platform infrastructure, evaluating AI system quality, and improving observability, data availability, and maintainability.
Location: Remote USA
Salary: $131,000–$200,000 per year, plus cash bonus and equity.
Company
hirify.global is a healthcare company founded in 2017 that uses integrated care, data, and AI to improve the health and well-being of older Americans.
What you will do
Design, develop, and maintain a robust, scalable data platform for analytics, machine learning, and AI workloads.
Build and evolve infrastructure for the Semantic Layer and Data Agent, including LLM discovery, data understanding, and safe data querying.
Establish evaluation, observability, and quality practices for AI systems that depend on the data platform.
Collaborate with Data Science and Product Engineering on tooling for reliable data and AI products.
Ensure data availability, quality, and reliability, identify platform improvements, and lead solutions from design through implementation.
Develop best practices for data modelling, pipelines, and testing.
Requirements
Ability to work in a fast-paced startup environment.
5+ years of experience as an individual technical contributor and 5+ years of experience with data platforms.
Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Experience developing in Python or Go.
Experience with a workflow orchestrator such as Airflow, Luigi, Dagster, or Prefect.
Strong understanding of data warehousing and data modelling principles.
Experience with semantic or metrics layers such as dbt Semantic Layer, Cube, or LookML.
Willingness to learn, comfort with ambiguity, pragmatism about AI, ability to self-direct work, and desire to collaborate and improve as a team.
Nice to have
Regular use of coding agents such as Claude Code, Codex, or Cursor.
Hands-on experience building or supporting applications using LLMs through Anthropic, OpenAI, or similar APIs.
Experience designing evaluations for LLM systems, such as text-to-SQL accuracy evaluations.
Culture & Benefits
Collaborative environment emphasizing knowledge sharing, elimination of silos, performance, reliability, maintainability, and continuous improvement.
Employer-sponsored health, dental, and vision plans with low or no premium.
Generous paid time off and a parental leave program.
$100 monthly mobile or internet stipend.
Stock options for all employees, cash bonus eligibility for roles below Director, and a 401(k) program.
Total Rewards benefits apply to full-time employees.
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