Remote Data Jobs · Kubernetes

Job listings

Extract and organize data from multiple blockchains using RPC, API, or smart contract calls. Develop and maintain the software stack for collecting and indexing transaction data for efficient consumption. Maintain a reliable API to provide comprehensive account histories and ensure data is auditable and meets SLAs. Track and monitor public blockchain sources and find necessary data for analysis.

As a Senior Data Engineer, you'll design and implement large-scale distributed data processing systems using technologies like Apache Hadoop, Spark, and Flink, building robust data pipelines and infrastructure. You'll transform complex data into actionable insights, ensuring scalability and fault-tolerance across our platform. You'll architect data lakes, warehouses, and real-time streaming platforms while implementing security measures and optimizing performance.

This is a remote position. Support production systems and help triage issues during live sporting events. Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production. Build new sports betting data products and predictions offerings. Integrate large and complex real-time datasets into new consumer and enterprise products. Develop production-level predictive analytics into enterprise-grade APIs.

You will be part of the data platform team, which enables applied research teams at poolside to build high quality and large datasets for pretraining and postraining, run large-scale experiments end to end from data retrieval to running evaluations and benchmarks. Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation.