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3 дня назад

Senior Analytics Engineer (dbt)

175 000 - 205 000$
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 Analytics Engineer (dbt): Building and governing scalable dbt models and trusted datasets from product and customer data with an accent on data architecture, AI-assisted workflows, and data quality. Focus on designing modeling standards, optimizing SQL at scale, and shaping ingestion and transformation pipelines across Snowflake, Segment, Fivetran, and Airflow.

Location: New York City, United States; must be commutable to the NYC headquarters. Hybrid in-person environment with required office attendance on Tuesdays and Thursdays and a default schedule of 3–4 days per week.

Salary: $175,000–$205,000 per year plus equity eligibility.

Company

Genius AI builds software that helps local businesses automate administration across booking, marketing, client management, finances, staffing, and inventory.

What you will do

  • Own the architecture of the dbt project, including design patterns, modeling standards, and staging, intermediate, and mart layers.
  • Partner with product, design, and engineering teams to support new features, review design documents, and keep metrics and downstream data consumers accurate.
  • Build, refactor, and optimize dbt models that transform raw product and customer data into scalable datasets.
  • Use AI to create automated testing, documentation, and data-access workflows.
  • Collaborate with data engineering on ingestion and transformation pipelines across Segment, Fivetran, and Airflow.
  • Drive data privacy, governance, and quality standards.

Requirements

  • 5+ years of experience as an analytics engineer, data engineer, or reporting engineer, including 2+ years of hands-on dbt development.
  • Experience building AI-assisted workflows for data modeling, testing, or documentation.
  • Advanced SQL skills and experience creating fast, readable models as data volume grows.
  • Hands-on knowledge of data modeling, ETL/ELT principles, and data warehousing.
  • Familiarity with Snowflake, dbt, Hex, Segment, Matia, Fivetran, and Airflow.
  • Must be commutable to the NYC headquarters and work in person 3–4 days per week.

Culture & Benefits

  • Health and dental insurance effective on the first day of employment.
  • Flexible paid time off.
  • In-office lunch twice per week for NYC and San Francisco employees, plus late-night dinner stipends.
  • Wellness platform access, professional development stipend, and 401(k) eligibility from day one.
  • Paid parental leave, dependent care FSA, and fertility and adoption benefits.
  • High performers receive a $5,000 five-year bonus for personal wellbeing or recharge expenses.

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