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Senior Data Engineer I (AdTech)

89 000 - 178 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
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

Senior Data Engineer I (Scibids): Build critical data and integration capabilities for AI-powered digital campaign activation product expansion with an accent on partner APIs, data pipelines, and scalable services. Focus on designing robust systems for massive adtech auction datasets, reconciling multi-source data, and enabling AI optimization logic.

Hybrid: 3x a week onsite in New York, NY

$89,000 - $178,000

Company

Global leader in AI-powered digital campaign activation and media transparency for Fortune 500 brands.

What you will do

  • Explore, evaluate, and integrate external partner APIs like The Trade Desk and DV360.
  • Design, build, and maintain backend services and data pipelines for ingesting and transforming large-scale ad auction data.
  • Expose internal endpoints for other teams and reconcile data from partner platforms and DV systems.
  • Operate production systems, improve observability, and ensure scalability under heavy loads.
  • Collaborate with Product, Data Science, Analytics, and Engineering to bridge business needs and technical constraints.
  • Partner with AI platform teams to deploy agentic solutions and mentor junior engineers.

Requirements

  • 3+ years in data engineering, backend engineering, or similar
  • Strong Python and SQL; Java, Rust a plus
  • Experience with external APIs, production services, and large-scale data pipelines
  • Familiarity with cloud, Git, CI/CD, Docker, container orchestration
  • Comfortable with ambiguous systems and cross-team collaboration
  • Focus on automation, reliability, observability, data-driven decisions

Nice to have

  • AdTech or auction-based systems experience
  • AI-augmented development (Claude Code, Cursor)

Culture & Benefits

  • Bonus/commission, equity, and comprehensive benefits
  • Automated deployments and infrastructure-as-code
  • Code reviews, system design discussions, mentoring
  • Encourages diverse applicants even if not 100% match

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