Fractional Distributed Systems Data Engineer

The profile is pursuing a role in the high-scalability distributed systems space as a fractional data engineer. They are a well-rounded Scala/Rust/Python developer, well-versed in data engineering, with deep knowledge of the internals of distributed datastores. They have experience with data modeling for high throughput database activity, a strong understanding of scalable workloads and data access patterns, and the ability to lead data/MLops projects from start to finish. Core skills include Cassandra (Data Modeling, Troubleshooting), Apache Iceberg (Scaling, Tuning), and Stream Processing (Kafka, Flink, Spark Streaming, Storm). They also have expertise in custom embeddings, vector-based semantic search, and deep intent recognition. Educational background is Computer Science. They have solid remote work experience, typically working Pacific Time hours. Asking for $345K base, pro-rated.