Mid
Analytics Engineer, Consumer Data Science at Reddit — build the data foundation behind Reddit's consumer product
This role sits at the intersection of Data Science and Data Engineering within Reddit's Consumer Data Science org, acting as the data steward for consumer products. You'll architect data collection, build ETLs and dashboards for feature tracking, retention analysis, and A/B testing, and create self-service tools that drive a data-driven culture across thousands of colleagues. The role requires 4+ years with large-scale ETL systems, strong Python/SQL/Spark/Scala skills, and the ability to be an effective conduit between data producers and data consumers.
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What this interview tests
- Data architecture and instrumentation for consumer products
- ETL/ELT pipeline design at scale (Python, SQL, Spark, Scala)
- Data workflow orchestration (e.g. Airflow)
- Self-service tooling and dashboard adoption
- Cross-functional translation between data producers and consumers
Common question themes
Architecting data collection for a new product area from scratch
Building and debugging a large-scale ETL pipeline in production
Driving adoption of a self-service data tool across technical and non-technical stakeholders
Translating an ambiguous stakeholder request into a concrete data model
Supporting A/B testing and retention analysis with reliable data pipelines
Mentoring or coaching data scientists on data foundations
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