Data Engineer

About the Role

You will engineer the critical path of CYBERIA's Data Platform — ingestion, transformation, feature pipelines, and vector retrieval — with SLOs for latency, freshness, and quality.

Responsibilities

• Build and operate batch and streaming pipelines with offline + online parity
• Implement feature stores with sub-50 ms p99 reads and point-in-time correctness
• Develop pipeline designers that turn documents (PDF, DOCX) into structured, AI-ready data
• Instrument everything: lineage, data quality checks, and cost telemetry by default
• Harden prototypes from applied ML teams into production-grade platform features

Requirements

• 4+ years engineering production data systems
• Strong Python plus SQL; experience with Spark, dbt, Airflow/Dagster, or similar
• Familiarity with vector databases, embeddings, or retrieval systems a strong plus
• Comfort with distributed systems, observability, and on-call

Benefits

• Fully remote within the US
• Competitive base + equity
• Learning and conference budget
• Premium health benefits and 401(k) match