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2 дня назад

Analytics Engineer (Fintech)

140 000 - 150 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Analytics Engineer (dbt/Snowflake): Building trusted data models, feature pipelines, and ELT workflows for a digital banking and earned-wage-access platform with an accent on data quality, governance, and cost-efficient analytics. Focus on developing dbt models, optimizing Snowflake usage, integrating new source systems, and partnering with analysts, data scientists, engineers, and business stakeholders.

Location: Hybrid in New York City; office attendance is required at least three days per week on Tuesdays, Wednesdays, and Thursdays, with occasional additional days for client meetings.

Salary: $140,000–$150,000 annual base salary, plus equity, benefits, and additional perks.

Company

hirify.global provides a digital banking and earned-wage-access platform embedded in scheduling, workforce management, and payroll applications.

What you will do

  • Build flexible, trusted analytical data models and reporting tables using dbt.
  • Develop feature pipelines for the data science team and contribute to hirify.global’s ELT pipeline.
  • Ingest and model data from new source systems in the cloud data warehouse.
  • Improve data quality, testing, documentation, observability, governance, access control, and monitoring.
  • Identify Snowflake cost bottlenecks, resolve data quality root causes, and maintain dbt coding standards.
  • Partner with analysts, engineers, data scientists, and business stakeholders to define metrics, data definitions, and governance standards.

Requirements

  • 3–4 years of professional experience in data analytics.
  • Strong SQL proficiency and experience with data modeling concepts, including dimensional modeling and Kimball methodology.
  • 1–2 years of hands-on dbt experience in a production environment.
  • Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Familiarity with cloud data loading tools such as Fivetran, Airbyte, or Airflow, plus scripting experience with Python or R.
  • Strong communication skills and the ability to translate technical work into clear business value.

Culture & Benefits

  • High-growth startup environment with opportunities to contribute ideas as the data function scales.
  • Medical, dental, and vision coverage, with family extension options.
  • Fully paid parental leave.
  • Company-sponsored 401(k), HSA, FSA, and short- and long-term disability insurance.
  • Unlimited vacation for salaried roles and a work-from-home setup allowance.
  • Daily access to earnings through hirify.global.

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