Remote opportunity at
DiscordSenior Data Engineer, Ads
Discord is a multiplatform communication service utilized by millions of daily active users who connect around shared interests and video games. The platform aims to facilitate…
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About This Role
Discord is a multiplatform communication service utilized by millions of daily active users who connect around shared interests and video games. The platform aims to facilitate easy and engaging interactions before, during, and after gameplay. Discord seeks a seasoned Senior Data Engineer, Ads to spearhead technical strategy and vision for advertising product data. This position focuses on driving machine learning initiatives, building sophisticated analytical tools, and developing robust data pipelines.…
Job Description
Discord is a multiplatform communication service utilized by millions of daily active users who connect around shared interests and video games. The platform aims to facilitate easy and engaging interactions before, during, and after gameplay.
Discord seeks a seasoned Senior Data Engineer, Ads to spearhead technical strategy and vision for advertising product data. This position focuses on driving machine learning initiatives, building sophisticated analytical tools, and developing robust data pipelines. The professional in this role will collaborate closely with machine learning engineering, data science, and product groups to transform advertising offerings through data insights.
Ideal candidates thrive in a greenfield environment, enjoy building systems from scratch, and possess strong expertise in digital advertising data engineering. Responsibilities include designing core data models, constructing machine learning input observability frameworks, and establishing batch and near real-time pipeline infrastructure. The engineering stack heavily utilizes BigQuery, dbt, and Dagster.
Responsibilities
- Design and own core ads data models including fact and dimension tables, canonical datasets, and aggregation layers for delivery, measurement, targeting, attribution, and machine learning use cases.
- Build and maintain machine learning data supporting ads ranking, delivery, and targeting through feature development, label generation workflows, intra-day training, and input observability.
- Construct conversion measurement pipelines and integrate third-party attribution data and mobile measurement partner integrations while ensuring data parity.
- Develop batch and near real-time pipeline infrastructure using a BigQuery, dbt, and Dagster stack to lower data latency for reporting and machine learning.
- Build data quality frameworks, monitoring systems, automated anomaly detection, and service-level agreement infrastructure for large-scale ads pipelines.
- Identify foundational data infrastructure gaps and design canonical, scalable solutions utilized by multiple teams.
- Drive alignment across machine learning engineering, data science, ads product, and go-to-market teams by connecting infrastructure decisions to business and revenue outcomes.
- Mentor engineers through design and code reviews, complex project ownership, and technical challenges.
Requirements
- Five or more years of hands-on experience writing production code and architecting high-volume consumer data pipelines within the advertising technology sector.
- Deep expertise in digital advertising data engineering, specifically covering ad delivery, attribution pipelines, conversion measurement, or machine learning feature data infrastructure.
- Demonstrated experience building data models within a zero-to-one or greenfield environment characterized by frequent requirement changes and sparse documentation.
- Expert-level proficiency in Python and SQL.
- Proven hands-on experience performing data quality audits, implementing monitoring systems, and creating automated anomaly detection for massive-scale datasets exceeding billions of rows.
- Strong technical communication skills to drive alignment and technical stakeholder adoption.
Qualifications
- Experience with data visualization and dashboarding technologies such as Looker or Tableau.
- Experience designing data architecture to support reporting, ad-hoc analysis, and experimentation.
- Familiarity working with data AI tools to establish self-service utility for customers.
- Experience building streaming or near real-time pipeline infrastructure like Kafka or Spark Streaming alongside batch processing.
Core Skills
Benefits
- Base salary compensation ranging from USD 196,000 to 245,000 per year
- Equity eligibility
- Comprehensive benefits package
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote work policy for this position?
The posting indicates that the location is remote within the United States.
What is the salary range for the Senior Data Engineer, Ads role?
The base salary ranges from USD 196,000 to 245,000 per year, and the position is also eligible for equity and benefits.
What technology stack is used for the pipeline infrastructure?
The role utilizes a BigQuery, dbt, and Dagster stack for batch and near real-time pipeline infrastructure.
How can applicants apply for this position?
Applicants can apply through the job board link provided in the original posting on We Work Remotely.
Sample Interview Questions
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