Data Engineer

VTG

  • Chantilly, Virginia
  • 13 days ago
  • Full-time

Highlights

This role focuses on cloud architecture, data engineering, pipeline development, and modernization efforts while collaborating with cross-functional teams to deliver secure, high-performance data solutions in a mission-driven environment. Responsibilities: Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives.

Numbers & Facts

LocationChantilly, Virginia
Job TypeFull-time

Description

Overview:

VTG is looking for a Data Engineer in Chantilly, VA

 

Responsibilities:

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud architecture, data engineering, pipeline development, and modernization efforts while collaborating with cross-functional teams to deliver secure, high-performance data solutions in a mission-driven environment.

Qualifications:
Required Skills and Qualifications:   
  • 3+ years of experience designing cloud-native data platforms in AWS
  • 2+ years of experience designing scalable data lake, warehouse, and analytics solutions
  • 2+ years of experience with cloud migration and modernization efforts
  • 2+ years of experience with the data pipelines, including data acquisition, data prep, and database architecture
  • Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards
  • Experience with non-relational and semi-relational databases
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data
  • Experience with team lead functions, creating solutions within a collaborative and cross-functional team environment
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in CS 
 
Preferred Skills and Qualifications:   
  • Experience with Pyspark and Spark ecosystems such as Databricks and EMR
  • Experience evaluating data analytic or science technologies and platforms
  • Experience going through an A&A process or leading modifications
  • Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures
  • Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex operational data flows
  • Experience with Source code management and integration such as GitHub
  • Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)
  • Experience with scripting languages such as Python and SQL
  • Experience with APIs development
  • AWS architecture Certifications such as Solution Architect Certification

 

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