Discord

Discord

Senior Data Engineer, Ads

Remote (U.S.) · Senior · Full-time

Sponsorship not specified$196k-$245kDetected 19 hours ago
SQLBigQueryKafkaMachine LearningSparkdbtData EngineeringData ScienceData VisualizationCommunication

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 7 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

18 transfer filings in the last year, covering 18 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

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

Responsibilities

  • 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.

Requirements

  • 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.
  • 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.
  • 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.

Compensation

  • $196,000 - $245,000 USD
  • The base salary range for this full-time position is listed below.
  • Our salary ranges are determined by role and level.
  • Please note that the compensation details listed in role postings reflect the base salary only, and do not include equity, or benefits.

Company info

  • 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.
  • Working with Data AI tools to establish greater self service utility for your customers.
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This listing is sourced directly from Discord's careers page and normalized into a canonical job model.