Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord seeks a seasoned Data Engineer, focusing on our advertising product data
Задачи
Design and own core ads data models : fact/dim tables, canonical datasets, and aggregation layers that power delivery, measurement, targeting, attribution, and ML use cases
Build and maintain the ML data that enables ads ranking, delivery, and targeting - including feature development, label generation workflows, intra-day training, and ML input observability to catch data quality issues before they degrade model performance
Build conversion measurement pipelines and integrate third-party attribution data - including Conversion Attribution and Mobile Measurement Partner (MMP) integrations (Adjust, AppsFlyer, Singular) - ensuring attribution accuracy and data parity across measurement surfaces
Build batch and near real-time pipeline infrastructure across the ads ecosystem - pushing toward lower-latency data for ML and reporting use cases on our BigQuery + dbt + Dagster stack
Partnering with Data Platform on launch and success of new data processing engines to support low latency requirements
Develop data quality frameworks, monitoring systems, automated anomaly detection, and SLA infrastructure for critical ads pipelines at massive scale
Proactively identify foundational data infrastructure gaps - including those with broad implications across ML, measurement, and reporting - and design scalable, canonical solutions that multiple teams can depend on
Build systems from scratch in a rapidly evolving, greenfield advertising data environment - making sound architectural decisions with incomplete information and balancing short-term delivery with long-term infrastructure investment
Drive alignment across Data Science, ML Engineering, Ads Product, and GTM teams through clear narratives that connect data infrastructure decisions to business outcomes and revenue impact
Mentor engineers through technical challenges, code and design reviews, and ownership of complex projects - contributing to the culture and engineering standards of the Data Engineering team team
In this role, you will drive technical vision and strategy for ads data engineering in support of our ML initiatives while building and maintaining sophisticated data pipelines, datasets, and analytical tools
You will lead cross-functional initiatives to transform our advertising products through data-driven insights and mentor fellow engineers to deliver exceptional results
This role works heavily with Data Science, Machine Learning, and product
If leading technical innovation, architecting scalable solutions, and empowering teams through data excites you, we encourage you to make a move!
Требования
5+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains (ad delivery, ranking, targeting, identity, conversion measurement)
Deep expertise in digital advertising data engineering - specifically in ads delivery, conversion measurement, attribution pipelines, or ML feature data infrastructure
Experience with Conversion Data and APIs, MMP integrations, or identity graph infrastructure is strongly valued
Demonstrated experience building data models in a greenfield or 0-to-1 environment where requirements change frequently, documentation is sparse, and architectural decisions are made with incomplete information
Expert-level SQL and Python . Strong ability to design performant, maintainable data models and write production-quality pipeline code
Proven hands-on experience with data quality audits, monitoring systems, and automated anomaly detection for massive-scale datasets (billions+ rows) - including quality frameworks designed for ML inputs
Strong technical communication skills with the ability to drive alignment, influence prioritization, and earn adoption from technical stakeholders
Collaborative mindset and strong cross-functional instincts with experience building trusted working relationships with Data Science, ML Engineering, and Product teams
Будет плюсом
Passion for Discord or gaming communities
Experience with data visualization and dashboarding technologies (Looker, Tableau, or similar)
Experience with designing data architecture to power a variety of use cases, including reporting (internal and external), adhoc analysis, experimentation
Working with Data AI tools to establish greater self service utility for your customers
Experience building near real-time or streaming pipeline infrastructure (e.g., Kafka, Spark Streaming, or equivalent) in addition to batch processing is preferred
Our salary ranges are determined by role and level
Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training
Why Discord?
Discord plays a uniquely important role in the future of gaming
We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses
We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank
Join us in our mission!
Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process
We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE
Условия
The US base salary range for this full-time position is $220,500 to $245,000 + equity + benefits
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
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ГрейдSeniorвычитано из текста вакансии
Формат работыне указан
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата220 500 — 245 000 USD в годвычитано из текста вакансии
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки753 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
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greenhouseОсновная публикация · 2025-11-19
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Работодатель
Discord
38 активных вакансий · вилка работодателя указана в 92%
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