Назад
3 дня назад

Senior Data Engineer (Ads)

220 500 - 245 000$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Senior Data Engineer (Ads) (BigQuery/dbt/Dagster): Building scalable advertising data models, ML feature pipelines, conversion measurement systems, and analytical infrastructure with an accent on attribution accuracy, data quality, and near real-time processing. Focus on architecting greenfield data systems, detecting anomalies across billions of rows, and aligning Data Science, ML Engineering, Product, and go-to-market teams around measurable business outcomes.

Location: Remote within the United States

Salary: $220,500–$245,000 USD base salary annually, plus equity and benefits

Company

Discord is a multiplayer social platform centered on gaming, shared interests, and community interaction.

What you will do

  • Design and own core advertising data models, canonical datasets, aggregation layers, and analytical tools for delivery, measurement, targeting, attribution, and machine learning.
  • Build and maintain ML data pipelines for ad ranking, delivery, and targeting, including feature development, label generation, intra-day training, and input observability.
  • Develop conversion measurement pipelines and integrate third-party attribution platforms such as Adjust, AppsFlyer, and Singular.
  • Build batch and near real-time pipeline infrastructure using BigQuery, dbt, and Dagster, while partnering with Data Platform on low-latency processing engines.
  • Create data quality frameworks, monitoring, automated anomaly detection, and SLA infrastructure for large-scale advertising pipelines.
  • Drive technical alignment across Data Science, ML Engineering, Ads Product, and go-to-market teams, while mentoring engineers and leading complex projects.

Requirements

  • 5+ years of hands-on experience writing production code and architecting high-volume data pipelines in advertising technology.
  • Deep expertise in advertising data engineering, including ad delivery, conversion measurement, attribution, or ML feature data infrastructure.
  • Experience building data models in greenfield or 0-to-1 environments with changing requirements and incomplete information.
  • Expert-level SQL and Python, with the ability to develop performant data models and production-quality pipeline code.
  • Hands-on experience with data quality audits, monitoring, and automated anomaly detection for massive-scale datasets.
  • Strong technical communication and cross-functional collaboration skills with Data Science, ML Engineering, and Product teams.

Nice to have

  • Experience with Looker, Tableau, or similar data visualization and dashboarding technologies.
  • Experience designing data architecture for reporting, experimentation, and ad hoc analysis.
  • Experience with Data AI tools for self-service data access.
  • Experience with near real-time or streaming infrastructure such as Kafka or Spark Streaming.
  • Passion for Discord or gaming communities.

Culture & Benefits

  • Work on advertising infrastructure supporting a gaming-focused platform used by millions of daily active users.
  • Full-time employment with equity and benefits.
  • Reasonable accommodations are available during the interview process.

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