Data Infrastructure Engineer (Query Engine)
San Mateo, CAOn-siteFull-time
AI Summary
Designs and develops scalable, fault-tolerant query engines; optimizes performance and integrations for large-scale data; collaborates cross-functionally to deliver data infrastructure for AI and analytics.
About this role
About Us
We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken.
Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges.
Join our growing team of ML research and data infrastructure experts. We're committed to empowering AI and data scientists to seamlessly integrate semantic learning with generative AI. Be part of our journey to shape the future of enterprise AI.
Who You Are
What You Will Be Doing
Prior Experience
Nice to Have
Skills
Apache IcebergApache SparkAvroC++Cost-based OptimizationDelta LakeDistributed SystemsDockerHudiJavaLinuxORCParquetPrestoQuery EngineRustScalaTrinoVectorized Processing
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