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Management is hands off, gives the team the freedom to explore new approaches, and markets the best ideas and results to all the other IC customers.\n\u003C\u002Fp>\n\u003Cp>\n    This project regularly needs various types of people - Data Scientists, Data \u002F ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI\u002FUX Developers, and AWS\u002FDevOps experts.  We're particularly interested in people with any of the following experience:\n\u003C\u002Fp>\n\u003Cp>\n    Work on this program takes place throughout the Reston\u002FHerndon\u002FChantilly, VA area (we cannot support remote work) and requires a TS\u002FSCI + Poly clearance (acceptable to this customer).\n\u003C\u002Fp>\n\u003Cp>\n    \u003Cstrong>\n        What You'll be Owning\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cp>\n    GRVTY is seeking a Data Engineer to join one of our top projects in Chantilly, VA. This role, requires working with a team of developers, data scientists, SMEs, and cyber analysts to design, develop, build, and analyze data management systems. The data engineer will work with and analyze our client’s challenges and provide solutions by designing and implementing batch and streaming data pipelines.\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Design, develop, and maintain Python-based data processing pipelines and workflow orchestration solutions for large-scale text ingestion, transformation, and enrichment.\n    \u003C\u002Fli>\n    \u003Cli>\n        Develop and implement AI-powered agentic workflows and LLM-integrated applications to automate data triage, classification, analysis, and processing tasks.\n    \u003C\u002Fli>\n    \u003Cli>\n        Build, enhance, and maintain reusable AI capabilities, prompt frameworks, and agent-based services that support enterprise data analysis platforms.\n    \u003C\u002Fli>\n    \u003Cli>\n        Integrate and operationalize Large Language Models (LLMs) to deliver retrieval, reasoning, summarization, information extraction, and decision-support capabilities.\n    \u003C\u002Fli>\n    \u003Cli>\n        Troubleshoot, optimize, and scale text-processing pipelines to ensure data quality, system reliability, and efficient AI-driven workflows.\n    \u003C\u002Fli>\n    \u003Cli>\n        Design and develop APIs and backend services that connect AI models, data pipelines, and mission applications.\n    \u003C\u002Fli>\n    \u003Cli>\n        Collaborate with cross-functional teams including data scientists, software engineers, and product stakeholders to prototype, test, and deploy AI-enabled solutions.\n    \u003C\u002Fli>\n    \u003Cli>\n        Develop Python-based automation tools and services supporting data engineering, workflow orchestration, model integration, and operational efficiencies.\n    \u003C\u002Fli>\n    \u003Cli>\n        Support the deployment and maintenance of production-scale AI and machine learning solutions in mission-focused environments.\n    \u003C\u002Fli>\n    \u003Cli>\n        Evaluate emerging AI technologies and recommend enhancements that improve analytical capabilities and operational outcomes.\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    \u003Cstrong>\n        What You Must Have\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Active TS\u002FSCI with Polygraph Clearance\n    \u003C\u002Fli>\n    \u003Cli>\n        Develop and perform ETL on large unstructured datasets.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience with Python\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience with services including Apache Kafka, Apache Spark, and Prefect\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience containerizing applications using Docker and deployments on Kubernetes\n    \u003C\u002Fli>\n    \u003Cli>\n        Building and maintaining CI\u002FCD pipelines for data and platform services\n    \u003C\u002Fli>\n    \u003Cli>\n        Familiarity with Linux-based systems\n    \u003C\u002Fli>\n    \u003Cli>\n        Solid understanding of DevOps principles (automation, monitoring, reliability)\n    \u003C\u002Fli>\n\u003C\u002Ful>\n",1781408277938]