Semantic Data Engineer

🔥 16 minutes ago

⛰️ Colorado, Florida, +11 more states – Remote

⛰️ Colorado – Remote 🐊 Florida – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $150k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Enterprise Knowledge, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

Consulting • Artificial Intelligence • Enterprise

Enterprise Knowledge, LLC is a knowledge management and semantic-layer consulting firm that helps organizations align their content, data, and AI initiatives. EK offers KM strategy and transformation, taxonomy and ontology development, enterprise search, knowledge graphs and data modeling, content strategy and operations, data management, AI readiness assessments, and implementation of semantic layers and unified entitlements. The company positions itself as a partner for complex enterprises seeking to make their organizational knowledge findable, understandable, and actionable for both humans and machines.

📋 Description

• Work with data subject matter experts and business users to effectively understand and model their domain of knowledge • Apply NLP techniques (entity extraction, classification, and document processing) to transform raw data and content into AI-ready assets • Design, implement, test, and operate end-to-end RAG workflows for client engagements, including retrieval pipeline architecture, embedding strategies, and response evaluation • Contribute to agentic AI solution design and implementation, including orchestration patterns, tool use, and memory and retrieval integration • Support a variety of business intelligence projects using AI-based solutions • Analyze complex datasets and communicate insights to both technical and non-technical stakeholders • Design and implement data pipelines for ingesting, processing, and enriching structured and unstructured content using SQL, Python, R, or equivalent languages • Contribute to semantic layer and knowledge graph implementations as part of larger AI solution architectures • Work with internal and external teams to contextualize data engineering work into larger project context

🎯 Requirements

• Bachelor’s degree in math, statistics, economics, data science, computer science, or a related field • 5+ years experience working on data analysis project(s) designing reports, and designing data analysis approaches and visualizations in a production setting • Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work products • Experience applying machine learning methods and statistical analysis to business use cases • Proficiency in programming languages such as Python, R, or similar for data analysis and modeling • Experience with NLP methods: entity extraction, text classification, document processing, or similar techniques applied to unstructured data in a production setting • Hands-on experience building and optimizing RAG pipelines, including embedding strategies, reranking, and cross-encoder models • Familiarity with retrieval quality and evaluation metrics (precision, recall, MRR, and user-centric evaluation approaches) • Experience implementing monitoring and observability for RAG and AI components, including latency, success rate, cache hit rate, retrieval quality, and data drift • Familiarity with data modeling, database architecture, and data integration, aggregation, and normalization across heterogeneous sources • Interest in developing as a consultant and taking on additional responsibilities for delivering and growing work