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3 дня назад

Data Engineering Manager (Fintech)

150 000 - 185 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineering Manager (Fintech): Leading and managing a team of data engineers building scalable pipelines and platforms that power analytics, data science, and business decisions with an accent on Snowflake, Databricks, and pipeline orchestration. Focus on scaling data platforms, implementing engineering best practices, and delivering high-impact data solutions for the insurance industry.

Location: Remote within the United States or Ontario, Canada

Salary: $150,000–$185,000 + Equity

Company

hirify.global is a technology-driven homeowners insurance company focused on mahirify.globalg insurance more affordable and accessible through data-driven products and human-centric service.

What you will do

  • Lead, manage, and mentor a team of ~6 data engineers while driving execution and career development.
  • Own the data platform, covering ingestion, storage, transformation, orchestration, and governance.
  • Define and execute a data engineering strategy to support analytics, data science, and machine learning initiatives.
  • Build and optimize scalable data architectures using tools like Snowflake, Databricks, DBT, and Airflow.
  • Establish engineering best practices, including CI/CD, testing, observability, and data quality standards.
  • Partner with cross-functional teams to deliver reliable data solutions that drive business decisions.

Requirements

  • Must be able to live and work full-time in one of the approved US states or in Ontario, Canada.
  • Proven experience leading and managing a data engineering team in high-growth environments.
  • Hands-on expertise with modern data platforms such as Snowflake or Databricks.
  • Deep experience with pipeline tools like DBT, Airflow, DMS, or Airbyte.
  • Strong background in large-scale data architecture, data modeling, and streaming technologies (Kafka/Flink).
  • Proficiency in Python and implementing CI/CD and monitoring for data pipelines.

Nice to have

  • Experience with AI/ML workflows or predictive analytics.
  • Knowledge of infrastructure-as-code tools such as Terraform.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance with company-funded HSA contributions.
  • 401(k) plan with up to 4% company match.
  • Flexible PTO and paid parental leave (up to 14 weeks for birthing parents).
  • Professional development budget for certifications, conferences, and learning.
  • Culture focused on ownership, lean operations, and high performance with low drama.

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