Job Description
Job Description ABS is seeking an exceptional Data Engineer to join us full-time on our Artificial Intelligence (AI) Practice Team. In this role, you will design and operate the data foundations that power AI chat assistants, custom AI models, and AI-driven process optimization for ABS Consulting clients. You will build robust pipelines that integrate structured and unstructured data, standardize and tag enterprise content, and enable scalable, low-latency retrieval for AI workloads. Location: This position can be based in Houston, Texas; Knoxville, Tennessee; or Washington, DC. What You Will Do: Design, build, and maintain scalable ETL/ELT pipelines to ingest, clean, and transform structured and unstructured data for AI assistants and custom models. Integrate diverse knowledge repositories (documents, policies, procedures, standards, databases) into centralized data platforms that support retrieval-augmented generation (RAG) and search. Implement data standardization, normalization, and tagging pipelines to align content with enterprise taxonomies and ontologies. Collaborate with AI/ML engineers to productionize model-ready datasets, feature stores, and embeddings for prediction, classification, and optimization use cases. Optimize data workflows for reliability, cost, and performance across batch and streaming workloads, including monitoring, alerting, and capacity planning. Establish and enforce data quality, lineage, and governance practices to ensure trustworthy inputs to AI systems and process-automation solutions. Automate and templatize common data engineering patterns to accelerate delivery across multiple client engagements and industry domains. Partner with consultants and business stakeholders to translate process optimization and analytics requirements into robust, maintainable data solutions. </