Senior Data Engineer — ETL, AWS & Data Pipelines

VTG Defense; Herndon (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

VTG Defense is seeking a Senior Data Engineer to translate business needs into technical data solutions. You will develop and optimize ETL pipelines, condition financial data, and leverage Python and SQL to improve data usability across enterprise tools. Experience with AI models and cloud deployment with AWS is valued.

The role emphasizes independent and collaborative work within a mission-driven team, with a strong focus on data quality and scalable engineering practices.

Qualifications

• Active TS/SCI with Polygraph required.
• Bachelor's degree in computer science, Software Engineering, or related field.
• Proficiency in Python and SQL for data conditioning and normalization.
• Experience building, optimizing, and implementing ETL processes and data pipelines.
• Experience with AWS for deploying scalable data solutions.
• Familiarity with Apache Airflow and Apache Hop is beneficial.

Responsibilities

• Develop, optimize, and maintain robust ETL processes and data pipelines.
• Condition and normalize raw and structured data for downstream enterprise tools.
• Leverage Python and SQL to transform financial data into actionable insights.
• Explore AI models to improve data fidelity and accelerate tasks.
• Build repeatable workflows with Airflow/Hop; work with AWS in a cloud environment.

Skills

Python

SQL

Apache Airflow

Apache Hop

ETL pipelines

AWS

Data normalization

Independence

Kubernetes

Language translation models

Financial data

Education

Bachelor's degree in computer science / Software Engineering or related field

Tools

Kubernetes

Job description

VTG Defense is seeking a Senior Data Engineer to translate business needs into technical data solutions. You will develop and optimize ETL pipelines, condition financial data, and leverage Python and SQL to improve data usability across enterprise tools. Experience with AI models and cloud deployment with AWS is valued.

The role emphasizes independent and collaborative work within a mission-driven team, with a strong focus on data quality and scalable engineering practices.