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The role
The company is hiring a Senior Data Engineer for its Ads team to own advertising data models, ML feature data and conversion measurement pipelines. The role works closely with Data Science, ML and product teams; the posting does not state location limits beyond a US salary range.
What you will do
- Design and own core ads data models, including fact and dimension tables and aggregation layers.
- Build ML data for ads ranking, delivery and targeting, including features, labels and input observability.
- Build conversion measurement pipelines and integrate attribution partners such as Adjust, AppsFlyer and Singular.
- Build batch and near real-time pipelines on a BigQuery, dbt and Dagster stack.
- Develop data quality checks, anomaly detection and SLA monitoring for critical ads pipelines.
- Align Data Science, ML, Ads Product and GTM teams, and mentor engineers.
What they ask for
- 5+ years writing production code and building data pipelines for high-volume consumer data in ad tech.
- Deep expertise in ads delivery, conversion measurement, attribution or ML feature data.
- Experience building data models in a greenfield environment with changing requirements.
- Expert-level SQL and Python.
- Experience with data quality audits and anomaly detection on datasets of billions of rows.
- Strong technical communication and cross-functional collaboration.
- Nice to have: Looker or Tableau, streaming pipelines (Kafka, Spark Streaming).
What they offer
- Equity in addition to base salary
- Benefits package (details not listed)
This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.