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Job description:
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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 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), 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.
The base salary range for this full-time
position is listed below. This position
will also be eligible for equity and
benefits. Benefits include medical,
dental, and vision insurance; a 401(k)
plan; life and disability insurance;
paid time off; and paid parental leave.
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.
Applications for this role are accepted
on an ongoing basis.Base
Salary$196,000—$245,000 USDWhy
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.
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