Senior Data Engineer, Ads

🕒 June 4

🇺🇸 United States – Remote

💵 $220.5k - $245k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Discord

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

💼 Consulting

🎮 Gaming

🌍 Social Impact

💰 $12G Venture Round on 2022-03

Consulting • Gaming • Social Impact

Discord is a communication platform designed for creating communities. Users can chat via text, voice, or video, and the platform is known for its emphasis on gaming. It provides customized experiences with features like custom emojis, stickers, and soundboard effects. Discord supports seamless streaming with high quality and low latency, making it ideal for gamers to hang out and play games together online. It is accessible across various devices including PC, phone, and console. Additionally, Discord places a high priority on safety and moderation, offering resources and guidelines for keeping communities safe and engaging. It is widely used for social interactions, gaming, and community building.

📋 Description

• Drive technical vision and strategy for ads data engineering supporting ML initiatives • Design and own core ads data models, including fact/dim tables, canonical datasets, and aggregation layers • Build and maintain ML data for ads ranking, delivery, and targeting, including features, label generation, training, and observability • Build conversion measurement pipelines and integrate third-party attribution data, including Adjust, AppsFlyer, and Singular • Build batch and near real-time pipeline infrastructure across the ads ecosystem using BigQuery, dbt, and Dagster • Develop data quality frameworks, monitoring systems, automated anomaly detection, and SLA infrastructure • Identify foundational data infrastructure gaps and design scalable canonical solutions • Build systems from scratch in a rapidly evolving advertising data environment • Drive alignment across Data Science, ML Engineering, Ads Product, and GTM teams • Mentor engineers through technical challenges, code reviews, design reviews, and complex projects

🎯 Requirements

• 5+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains • Deep expertise in digital advertising data engineering, specifically ads delivery, conversion measurement, attribution pipelines, or ML feature data infrastructure • Experience with Conversion Data and APIs, MMP integrations, or identity graph infrastructure strongly valued • Demonstrated experience building data models in a greenfield or 0-to-1 environment • Expert-level SQL and Python • Experience with data quality audits, monitoring systems, and automated anomaly detection for massive-scale datasets • Strong technical communication skills • Collaborative mindset and strong cross-functional instincts • Experience with data visualization and dashboarding technologies such as Looker or Tableau is a bonus • Experience building near real-time or streaming pipeline infrastructure is preferred

🏖️ Benefits

• Equity • Benefits • Reasonable accommodations during the interview process