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9 часов назад

Senior Data Engineer (AI)

240 000 - 300 000$
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

Текст:
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TL;DR
Senior Data Engineer (AI): Building and maintaining large-scale data pipelines, data infrastructure, models, and client-facing reporting solutions with an accent on ETL, Snowflake data warehousing, and data quality. Focus on designing performant data objects, implementing monitoring systems, and creating metrics datasets and dashboards that support product, operational, and strategic decisions.

Location: On-site in New York City or San Francisco; working in person at the office 4–5 days per week.

Salary: $240,000–$300,000 per year, plus equity and potential bonuses.

Company

hirify.global develops AI agents for housing and healthcare workflows, helping organizations reduce manual work and improve customer and patient experiences.

What you will do

  • Own the company’s data pipelines, infrastructure, and ETL processes.
  • Build and maintain high-quality, large-scale data solutions that process substantial data volumes.
  • Design core data objects, models, and performant database structures.
  • Optimize data collection and data flows across product, operations, analytics, and engineering.
  • Implement data quality checks and monitoring systems.
  • Develop client-facing reporting solutions, metrics datasets, and dashboards.

Requirements

  • 4+ years of professional data engineering experience.
  • Programming proficiency in Python.
  • Experience with PostgreSQL or other relational databases, data modeling, and database design.
  • Experience designing, implementing, and maintaining ETL pipelines.
  • Knowledge of data warehousing solutions, particularly Snowflake.
  • Strong problem-solving, communication, collaboration, organization, and data quality skills.

Nice to have

  • Experience with data quality management and monitoring tools.
  • Familiarity with AWS services and data visualization tools.
  • Knowledge of machine learning pipelines and real-time data streaming platforms.
  • Familiarity with dbt and Airflow.

Culture & Benefits

  • High-autonomy, fast-paced environment focused on scaling products and solving client problems.
  • Equity in the company.
  • 100% covered medical, dental, and vision premiums.
  • Fully paid parental leave, commuter benefits, 401(k), and fitness and home services stipend.
  • In-office meals, stocked kitchen, unlimited vacation, and paid holidays.
  • Relocation packages are available.

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