Data Engineer AI ML Pipeline Focus- VA

<p><b>Data Engineer AI/ML Pipeline Focus</b></p> <p><b>Arlington VA (Hybrid)</b></p> <p><b>Contract Duration: 6 -12 Months</b></p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"><b>Work Experience: 5+ Years of experience</b></p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"> </p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"><b>Skills & Experience Requirements</b></p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> 5+ years of experience designing, developing, and maintaining large-scale data</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> pipelines for AI/ML workloads.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Strong proficiency in Python and SQL, with experience in distributed processing</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> frameworks (Spark, Databricks).</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Hands-on experience with data ingestion, transformation, and feature engineering</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> from heterogeneous sources (structured, unstructured, graph-based).</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Familiarity with cloud data platforms (AWS, Azure, or GCP) and CI/CD practices</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> for data workflows.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Experience working in regulated environments (e.g., healthcare, government) with</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> knowledge of data security, lineage, and compliance requirements.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"> </p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px">Preferred Qualifications</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Prior experience with FDA imports, customs, or supply chain data pipelines.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Familiarity with entity resolution, product classification, and risk scoring systems.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Experience building ingestion and transformation logic for regulatory datasets such</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> as OASIS, PREDICT, or Center-specific compliance databases.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Knowledge of handling sensitive government data in compliance with FedRAMP and FISMA</p>