Senior Data Engineer
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
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