Senior Data Engineer, Ads

Job Overview

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.

Job Description

Discord seeks a seasoned Data Engineer, focusing on our advertising product data.

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.

Key Responsibilities

• 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.
• If leading technical innovation, architecting scalable solutions, and empowering teams through data excites you, we encourage you to make a move!
• What You'll Be Doing 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..

Required Skills and Qualifications

• What you should have 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).
• 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.
• 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.
• Bonus Points 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.
• Experience building near real-time or streaming pipeline infrastructure (e.g., Kafka, Spark Streaming, or equivalent) in addition to batch processing is preferred.

Benefits and Perks

• Bonus Points 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.
• 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.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Discord is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.