Data Engineer - Mid: ETL, AWS & Analytics for Government

Castalia Systems; Chantilly (VA); On-site; USD 175,000 - 185,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

401k matching

Paid time off

Job summary

Castalia Systems is seeking a Data Engineer-Mid to support a government customer in Chantilly, Virginia. The role focuses on data engineering, ETL development, and cloud infrastructure, with responsibilities for data analysis, automation, and developing data models to meet mission requirements.

The ideal candidate has 5–10 years of relevant experience, strong statistical knowledge, and hands-on AWS experience.

Qualifications

• Bachelor's degree in STEM.
• 5–10 years of relevant experience in data science/engineering.
• Experience automating data processes and presenting to management.
• Strong understanding of statistics (regression, anomaly detection, clustering).
• Experience creating data packages with databases and visualizations.
• Ability to integrate diverse data sources (Open Source, PAIs, CAIs, and intel records).
• Knowledge of ETL pipelines and data processing workflows.
• Experience with AWS/cloud infrastructure and configuration.
• Python programming for data processing and automation.

Responsibilities

• Analyze and extract information from large data sets using statistical techniques.
• Automate data extraction, cleaning, processing, and analysis.
• Develop and implement data models to solve analytical questions.
• Design, evaluate, and optimize ETL pipelines and data flows.
• Collaborate with teams using Agile methodologies to deliver projects.
• Review APIs and system integrations to assess dependencies and progress.
• Develop prototype solutions and support mission requirements.

Job description

Castalia Systems is seeking a Data Engineer-Mid to support a government customer in Chantilly, Virginia. The role focuses on data engineering, ETL development, and cloud infrastructure, with responsibilities for data analysis, automation, and developing data models to meet mission requirements.

The ideal candidate has 5–10 years of relevant experience, strong statistical knowledge, and hands-on AWS experience.