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Описание вакансии
Текст:
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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