Data Engineer: Mission-Critical Data & Analytics

Koitecc Solutions; Arlington, Northern (VA, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

CALIBRE is seeking an experienced Data Engineer to develop production-ready data products and analytics using Army Vantage and DoW WDP capabilities. You will translate mission and business questions into governed data pipelines, dashboards, and decision-support applications to enable timely, trusted decisions.

The role is hands-on, collaborating with mission owners, data stewards, engineers, analysts, and platform teams to deliver scalable data solutions and sustainment into operations and

Qualifications

• Bachelor's degree in a quantitative field or equivalent.
• 5+ years of experience in data engineering or analytics.
• Experience developing data pipelines and analytical datasets in an enterprise environment.
• Direct experience with Army Vantage/Palantir Foundry, WDP, or comparable platforms.
• Active Secret clearance required.
• Strong communication and cross-functional collaboration.

Responsibilities

• Ingest, profile, clean, transform, and integrate data from multiple sources.
• Build scalable data pipelines and curated datasets.
• Develop dashboards and analytics using Vantage/Foundry and BI tools.
• Ensure data governance, quality, and security controls.
• Collaborate with stakeholders to translate questions into data products.

Skills

Python

SQL

Spark

Agile delivery

Communication

Education

Bachelor's degree in data science or related

Advanced degree preferred

Tools

Databricks

Delta Lake

Power BI

Tableau

Palantir Foundry

Army Vantage

WDP

Job description

CALIBRE is seeking an experienced Data Engineer to develop production-ready data products and analytics using Army Vantage and DoW WDP capabilities. You will translate mission and business questions into governed data pipelines, dashboards, and decision-support applications to enable timely, trusted decisions.

The role is hands-on, collaborating with mission owners, data stewards, engineers, analysts, and platform teams to deliver scalable data solutions and sustainment into operations and