Data Engineer AI/ML Pipeline Focus

  • Arlington, VA
  • Posted 52 days ago | Updated 4 days ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Amazon Web Services
Artificial Intelligence
Machine Learning (ML)
Python
Database
SQL
Databricks
Apache Spark
Workflow
Data Security
Supply Chain Management

Job Details

 

Note: Candidate must not have traveled outside the U.S. in the past 1,095 days (3 years) to qualify for Public Trust Clearance.

 

This is an Hybrid Role , Candidate must be  onsite in Arlington , VA

 

Data Engineer AI/ML Pipeline Focus

Arlington VA (Hybrid)

Contract Duration: 6 -12 Months

 

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 Google Cloud Platform) 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.

 

 

Regards,
Raju Chidurala

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.