Senior Ads Data Engineer at Discord - $245K + Equity in Columbus
Career & Market Insight
This is a senior-to-staff level data engineering role at a high-profile consumer tech company with a massive user base. The $196K–$245K base salary is competitive — Levels.fyi data puts Senior/Staff Data Engineers at major tech companies in the $180K–$230K+ range, placing Discord at the upper end of the market, especially with equity on top.
Career development highlights:
- Working on greenfield adtech infrastructure (0-to-1 environment) is rare and highly marketable — adtech data engineering is a premium niche that commands top-tier compensation across Meta, Google, The Trade Desk, and similar companies.
- Hands-on experience with BigQuery, dbt, Dagster, MMP integrations, and ML feature pipelines aligns directly with what leading data platforms are hiring for in 2024–2025.
- The mentorship and cross-functional alignment responsibilities signal a path toward a Staff or Principal Engineer track, not just an individual contributor role.
Culture signals: Discord is a growth-stage company with a consumer product at scale — expect a fast-paced, ownership-heavy environment. The "greenfield" and "incomplete information" language in the posting is a green flag for autonomy but also a signal that ambiguity tolerance is required.
Potential red flags: The ads business is relatively new for Discord, which means you'll be building foundational infrastructure without established playbooks. This is exciting for the right engineer, but could be stressful for those who prefer mature, well-documented systems.
Overall, this is a strong career move for a data engineer looking to build rare adtech depth and grow into a technical leadership role.
Headquarters: Remote (U.S.)
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. 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!
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.
- 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.
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).
- 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.
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), ad hoc analysis, and 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
The base salary range for this full-time position is listed below. This position will also be eligible for equity and 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 role postings reflect the base salary only, and do not include equity, or benefits.
Base Salary: $196,000 — $245,000 USD
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.
To apply: https://weworkremotely.com/remote-jobs/discord-senior-data-engineer-ads