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1 день назад

Data & Backend Engineer (Insurtech)

130 000 - 225 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/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

Data & Backend Engineer (Python/SQL): Designing and building a ground-up data infrastructure and ingestion pipelines with an accent on reliability, scalability, and cross-system integration. Focus on developing backend Python services, optimizing complex SQL transformations, and creating data quality frameworks to ensure business-wide data trustworthiness.

Location: Hybrid in New York City (NYC)

Salary: $130,000 – $225,000 base

Company

hirify.global is a profitable insurance business that designs, underwrites, and distributes specialty coverage for commercial property owners and their tenants.

What you will do

  • Build end-to-end data pipelines integrating internal/external apps, 3P vendors, and SaaS systems.
  • Develop transformations across OLTP, OLAP, and S3 infrastructure.
  • Create backend Python services and APIs to expose platform data to internal consumers and downstream workflows.
  • Implement monitoring, alerting, and data quality frameworks to ensure system reliability.
  • Drive data architecture decisions to ensure business agility and scalability.

Requirements

  • 3–6 years of experience working on data infrastructure or backend systems in production.
  • Strong proficiency in Python (clean, testable code) and complex SQL (window functions, CTEs, optimization).
  • Experience designing and shipping reliable cross-system ETL/ELT pipelines.
  • Ability to interpret complex data and act as a domain expert on the data handled.
  • Collaborative mindset for working with product, frontend, analytics, and research teams.
  • Must be based in or able to work hybrid in New York City.

Nice to have

  • Experience with dbt for SQL-native transformation layers.
  • Familiarity with Airflow, Prefect, or other orchestration frameworks.
  • Exposure to AWS services such as Lambda, IAM, KMS, MWAA, and ECS/EKS.
  • Background in insurtech, proptech, or other highly regulated domains.
  • Strong opinions on data modeling, including star schema, OBT, and normalization tradeoffs.

Culture & Benefits

  • Competitive base salary and equity in a well-funded, fast-growing company.
  • Unlimited PTO and full health benefits.
  • Flexible work setups within a high-standards, low-ego professional environment.
  • High level of discretion and a wide aperture of complex problems to solve.

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