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11 часов назад

Lead Data Engineer

170 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Lead Data Engineer (Python/Data Platform): Building and evolving a cloud-native data ecosystem for a fintech platform with an accent on ETL/ELT, data products, infrastructure, and self-serve analytics. Focus on designing governed data architecture, improving data quality and security, optimizing platform costs, and leading a high-leverage engineering team from the NYC office.

Location: New York, NY; work from the NYC SoHo office at least four days a week

Salary: $170K–$220K per year, plus benefits, signing bonus, and equity

Company

hirify.global is modernizing U.S. B2B card payments infrastructure for commercial fleets through a fleet and fuel card built on a digital spend management platform.

What you will do

  • Lead the design and implementation of hirify.global’s data ecosystem, from third-party data acquisition and infrastructure architecture to data products, BI, and exploration tools.
  • Establish data engineering best practices covering source control, change management, database migrations, statistical reasoning, and AI-enabled data access.
  • Build guardrails for self-serve data use and help product engineering teams develop domain-driven data products.
  • Improve ETL/ELT patterns from landing zones through semantic layers and ensure metrics use consistent, curated data.
  • Oversee connected SaaS data systems, infrastructure budgeting, cost allocation, tokenization, access controls, retention, and backups.
  • Lead a small, high-leverage data engineering team while balancing platform evolution with the needs of a rapidly growing startup.

Requirements

  • 7–10+ years of hands-on experience across modern ETL/ELT, orchestration, data warehouses, columnar stores, BI tools, and SQL optimization.
  • Software engineering mindset with experience in infrastructure as code, testing, modularity, automation, CI/CD, and observability.
  • Proficiency in Python for data platform contributions to product engineering code and internal tooling.
  • Experience working with product engineers and business users, including designing and delivering solutions independently.
  • Strong ownership, continuous improvement, technical research, solution design, and responsible change management skills.
  • Ability to work from the NYC SoHo office at least four days per week.

Culture & Benefits

  • Early-stage startup environment with a pragmatic, high-impact approach to platform development.
  • Medical, dental, and vision insurance.
  • Flexible paid time off, paid holidays, and paid parental leave.
  • Company-sponsored 401(k), financial wellness resources, and equity tax advisory access.
  • Equity grant, education stipend, $400 accessories allowance, and free lunch every Friday.

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