Mid/Senior Data Engineer

We're transforming our customer support data from static, disconnected reports into a live, AI-powered system. We're looking for an experienced Data Engineer to build the pipelines, storage, and logic that power our new AI agents — turning messy customer chats and tickets into clean, structured information our AI can reliably use.Job ResponsibilitiesIngest and clean large volumes of unstructured support data from Bliss, Salesforce, Sprinklr, and JIRADesign storage and retrieval systems (including vector databases) that give our AI accurate, relevant contextBuild a centralized, reliable metrics layer for AI-driven analyticsBuild robust, monitored, failure-resistant pipelines — no fire drillsPartner with ops, product, and engineering; push back on poor data practices at the sourceRequired Skills5+ years in data engineering with big data tools (Hadoop, Hudi, Spark, Presto, Pinot, Flink, Kafka) and cloud data warehousesStrong hands-on Python and PySparkProven use of AI tools (e.g., Claude, Codex) to accelerate development — automating checks, parsing messy text, building data logic layersDirect experience with vector databases (Pinecone, Milvus, Weaviate, pgvector) and AI-feeding data pipelinesBonus: experience building metric or semantic layersIf this opportunity aligns with your experience and interests, I'd be happy to discuss it further. Please send your updated resume to sjain@pksi.com.