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3 дня назад

Lead Data Engineer (AI)

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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Описание вакансии

Текст:
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TL;DR
Lead Data Engineer (AI/data platform): Building and scaling Coast’s data warehouse, pipelines, catalog, semantic layer, and security posture with an accent on Redshift, Dagster, dbt, Python, and AI-ready data access. Focus on leading a horizontal data engineering team, designing row-level security and tokenization, enabling data products, and making trusted data accessible to technical and nontechnical users.

Location: New York City, NY; must be able to work in-office 3–4 days per week

Salary: $170,000–$220,000 annually, plus equity and benefits.

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

  • Own standards and patterns for data ingestion, warehouse usage, modeling, and data consumer workflows.
  • Build a data catalog, semantic layer, and other capabilities that make data discoverable and accessible across the company.
  • Define data security standards, including tokenization, role-based access control, and row-level security.
  • Develop patterns for reverse ETL and safely exposing data to AI agents.
  • Lead and mentor a horizontal data engineering team while helping product engineering teams build DDD-based data products.
  • Write Python data pipelines, CI/CD pipelines for data products, and dbt data tests.

Requirements

  • 7+ years of hands-on experience across ETL/ELT, orchestration, data warehouses, columnar stores, BI tooling, and SQL optimization.
  • Experience with Redshift or Snowflake, Dagster or comparable pipeline tools, dbt, and medallion architecture.
  • Proficiency in Python and experience building data pipelines and data products.
  • Experience leading horizontal data engineering teams and collaborating with analytics and product engineering teams.
  • Experience mentoring data engineers and colleagues who work with data products.
  • Must be based in New York City and able to work in-office 3–4 days per week.

Nice to have

  • Experience making data accessible to AI agents and enabling nontechnical users to work with data through AI tools.
  • Experience establishing data security, warehouse cost management, data catalogs, and semantic layers.

Culture & Benefits

  • Early-stage environment with a federated data model and emphasis on action, mentorship, and process-building.
  • 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.
  • Education stipend, $400 accessories allowance, and free lunch every Friday.

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