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16 часов назад

Senior Data Engineer (AI)

185 000 - 230 000$
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
Senior Data Engineer (AI) (Python/SQL): Building foundational data models, reliable pipelines, and data platforms that power analytics, experimentation, and decision-making with an accent on self-serve analytics, data quality, and governance. Focus on designing scalable analytical workloads, implementing statistical validation and anomaly detection, and improving data reliability across production systems.

Location: Mountain View, California, with a hybrid work arrangement

Salary: $185,000–$230,000 USD per year

Company

hirify.global develops an AI-powered meeting transcription, summarization, and collaboration platform that turns conversations into accessible and actionable data.

What you will do

  • Build and own foundational data models supporting self-serve analytics and key business metrics.
  • Design, operate, and scale reliable data pipelines and data platforms.
  • Partner with Growth, Product, Sales, Marketing, Data Insights, and Engineering teams to create trusted data products.
  • Influence data collection and logging standards across production systems.
  • Establish best practices for data modeling, quality, and governance.
  • Implement data quality checks, statistical validation, and anomaly detection while providing technical leadership.

Requirements

  • 5+ years of experience in data engineering.
  • Bachelor’s degree in Computer Science or equivalent experience.
  • Strong programming skills in Python and SQL.
  • Expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks.
  • Experience building and maintaining ETL/ELT pipelines and using workflow orchestration tools such as Airflow or dbt.
  • Experience with data modeling, analytical workloads, and cloud platforms, preferably AWS.

Nice to have

  • Experience working in fast-paced technology, AI, or SaaS environments.

Culture & Benefits

  • High-ownership role with direct impact on how data is collected, modeled, and used across the business.
  • Cross-functional collaboration with business and engineering stakeholders.
  • Inclusive and accessible workplace with reasonable accommodations available throughout the hiring process.
  • Comprehensive total rewards package in addition to base salary.

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