Astrocade
Member of Technical Staff (Data Platform)
Palo Alto · Staff+
Sponsorship not specifiedDetected 34 days ago
SQLMachine LearningAirflowdbtData EngineeringResearch
About the role
- Our data infrastructure needs to be built, from scratch.
- We're migrating off a custom in-house pipeline that can't keep up with our growth, and the decisions made now will shape how product, growth, and ML operate for years.
- You'll sit in engineering, report to the CTO, and work directly with the co-founders.
Responsibilities
- Build and maintain scalable pipelines for high-volume user and game event data across ingestion, transformation, and serving
- Design the data models and warehouse structure that product, growth, and future ML systems depend on
- Write and optimize SQL queries - profiling, tuning, and setting the performance standard
- Own data quality from day one: monitoring, alerting, and anomaly detection
- Build toward a self-serve analytics layer that non-engineers can trust and use independently
- Have 4-7 years of data engineering experience, including at least one 0→1 build or major pipeline rebuild
- Have enough analytical range to serve product and growth teams directly, not just build pipes they can't use
- Join us to help build the future of interactive entertainment.
Requirements
- Experience with high-volume event data from consumer, social, or UGC platforms
- Experience with dbt, Airflow, or Dagster
- Understand latency tradeoffs - you know when milliseconds matter and when daily batches are fine
Compensation
- Competitive base salary plus equity
Benefits
- Competitive base salary plus equity
- Health, dental, and vision coverage
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This listing is sourced directly from Astrocade's careers page and normalized into a canonical job model.