Army Vantage Data Engineer

Vista Innovative Solutions (VIS) is a Government Consulting and Contracting firm supporting missions throughout the world. VIS is seeking an Army Vantage Data Engineer to join our team.
Army Vantage is a data-driven command and control platform built on Palantir Foundry specifically for the U.S. Army. It connects over 30,000 datasets across hundreds of disconnected legacy systems into a single operational window. By applying AI analytics to this data foundation, Vantage helps Army commanders make rapid, real-time decisions on combat readiness, supply chain logistics, finance, and personnel management. The Army Vantage Developer’s role is to build and maintain data pipelines, analytics and AI models, and low-code operational applications on this platform in support of the Army Human Resource Command.
What You’ll Do

Design, build, and maintain data pipelines in Palantir Foundry, including ingestion, transformation, and validation of data from multiple Army source systems and legacy platforms.
Develop analytics and AI/ML models and ontology objects that give users a consistent, trusted view of operational data.
Operationalize AI by embedding models into low-code applications (e.g., Workshop, Slate) and AI-enabled workflows (e.g., Palantir AIP) that deliver real-time insights on readiness, logistics, finance, and personnel.
Write and optimize transforms using PySpark, Python, and SQL, including feature engineering and data preparation for model training.
Gather requirements from Army commanders and staff and translate them into technical and AI-driven solutions.
Monitor pipeline and model health, troubleshoot failures, and track model performance, accuracy, and drift.
Apply data governance, security, access-control, and responsible AI standards in line with Army and DoD policy.
Utilize Agile Framework to manage tasks and document solutions for the Vantage developer community.

What You Bring
Required:

5+ years in data engineering, software development, or analytics, including building ETL/ELT pipelines.
Proficiency in Python and SQL; experience with PySpark or similar distributed data processing.
Experience applying AI/ML (e.g., predictive modeling, forecasting, NLP, or LLM-enabled workflows) to operational data and putting models into production.
Excellent communication (oral and written) and organizational skills, with the ability to work with both technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
CompTIA Security+.
Active Secret Clearance.

Preferred: