Staff Data Engineer, Ads at Discord

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

279000.0

Posted On

20 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, ETL, Data Models, Data Quality, Monitoring Systems, Anomaly Detection, Collaboration, Technical Leadership, Data Visualization, Advertising Technology, Data Pipelines, Machine Learning, APIs, Dashboarding

Industry

Software Development

Description

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. Discord, an inclusive community for all, seeks a seasoned technical leader to join our Data team as a Staff Data Engineer, focusing on our advertising products. In this role, you will drive technical vision and strategy for data infrastructure 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 Create and maintain complex, enterprise-scale data pipelines and foundational datasets while defining technical strategy and architectural direction for advertising products Design and build sophisticated ETL processes, data models, and analytical frameworks using SQL, Python, and modern data stack technologies Develop data quality frameworks, monitoring systems, automated anomaly detection, and alerting infrastructure that operates at massive scale Collaborate with data scientists, ML engineers, and product teams, directly implementing their requirements into scalable, maintainable data solutions Drive cross-functional technical initiatives solving sophisticated data engineering challenges Create scalable dashboards and reports to support business objectives and enable data-driven decision making Lead and mentor engineers through pair programming, code reviews, and collaborative problem-solving What you should have 7+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising or marketing technology domains 7+ years of direct implementation experience designing, coding, and maintaining complex data models and systems handling structured and unstructured data sources Expert-level coding abilities in SQL, Python, and modern data engineering frameworks with demonstrated ability to write performant, maintainable, and scalable code Digital advertising data engineering expertise with hands-on experience building high-throughput data pipelines for ad serving, conversion tracking, advertising measurement, or integrating and normalizing third-party advertising data from external platforms and partners Proven hands-on experience implementing and debugging data quality audits, monitoring systems, and automated remediation for massive datasets (billions+ rows) Technical leadership through coding with experience mentoring engineers via pair programming, code reviews, and collaborative problem-solving Strong technical communication abilities to explain complex implementations to stakeholders while thriving in rapidly-evolving technical environments Passion for solving complex problems through direct technical contribution and desire to work with exceptional engineers on challenging data infrastructure Collaborative mindset with intellectual curiosity and commitment to technical excellence through hands-on delivery Bonus Points Passion for Discord or gaming in general Hands-on collaboration experience implementing solutions with data science, ML engineering, and product teams through direct technical contribution Hands-on integration experience implementing connections with external data sources, APIs, and third-party advertising platforms Experience with modern data storage and processing technologies (BigQuery SQL, Airflow, Dagster, DBT, or similar) Experience with data visualization and dashboarding technologies (Looker, Tableau, or similar) Experience with designing data architecture to power a variety of use cases, including experimentation The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. 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. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. 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. 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.

Responsibilities

You will create and maintain complex data pipelines and datasets while defining technical strategy for advertising products. Additionally, you will lead cross-functional initiatives to transform advertising products through data-driven insights.