Member of Technical Staff (Data Platform)
Astrocade - Palo Alto, California, United States
Posted May 5, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Member of Technical Staff (Data Platform) Palo Alto, California, United States About Astrocade Astrocade is a UGC gaming platform where anyone can turn an idea into a playable, shareable game in days, not months. Think YouTube, but for games. We've grown to more than 20 million users within just a few months of launch, and we're only getting started. Backed by Sequoia, NVIDIA, and Google, Astrocade was founded by Amir Sadeghian (Stanford PhD), Ali Sadeghian (Ex-Google Research), and Fei-Fei Li (Godmother of AI). We're building the infrastructure for a new era of interactive entertainment. 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. As our first Data Engineer, you'll own the architecture, build the pipelines, and lay the foundation everything else runs on. You'll sit in engineering, report to the CTO, and work directly with the co-founders. This is a 0→1 build with full ownership. What You'll Do - 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
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