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