Data Engineer – Army Vantage, Palantir Foundry

• Develop, maintain, troubleshoot, and enhance ATIS data products, datasets, pipelines, applications, dashboards, and related capabilities within Army Vantage/Palantir Foundry
• Design, build, and sustain production-quality data pipelines and transformations using Python, SQL, PySpark, and native Foundry capabilities
• Develop and maintain Foundry ontology objects, relationships, and data models
• Integrate authoritative ATIS data with Vantage/Foundry and other Army enterprise data sources while maintaining data quality, lineage, and access controls
• Diagnose and resolve end-to-end data quality and integration issues across source data, interfaces, transformations, pipelines, and products
• Develop Foundry-native dashboards, applications, reports, and other data products
• Implement data-quality validation, monitoring, scheduling, error handling, and production reliability practices
• Apply version control, peer review, testing, documentation, and CI/CD where supported
• Collaborate with product owners, engineers, architects, analysts, and users to translate mission needs into technical solutions
• Document solutions, share knowledge, and build team capability
• Operate as a self-directed member of the Agile team and drive technical problems toward resolution

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field, or equivalent relevant experience
• 4+ years of professional experience in data engineering, data integration, software development, or development of production data products
• Hands‑on experience developing or maintaining solutions in Palantir Foundry and/or Army Vantage
• Strong proficiency in SQL and Python
• Experience designing, building, and maintaining ETL/ELT pipelines involving complex or disparate datasets
• Experience with data modeling, including schemas, keys, relationships, reference data, and transformation of source data into reusable data products
• Experience with Foundry ontology, semantic data models, or comparable enterprise data structures
• Experience with PySpark, Spark, Pandas, or comparable technologies
• Demonstrated ability to troubleshoot data pipelines, integrations, data‑quality issues, and production data products
• Ability to work independently while collaborating with multidisciplinary technical and product teams
• Strong analytical, problem‑solving, communication, and documentation skills
• Active DoD Secret security clearance
• Applicable DoD 8140 cybersecurity/workforce qualification, where required (preferred)
• Familiarity with APIs, cloud data services, and enterprise system integration (preferred)
• Experience working within an Agile or SAFe Agile Release Train environment (preferred)
• Experience supporting Army, DoD, federal, or other secure/regulated mission systems (preferred)

Core Competencies

Demonstrates expertise in developing and maintaining data products and pipelines using Python, SQL, and PySpark within Palantir Foundry and Army Vantage. Proficient in data modeling, integration, and ensuring data quality while collaborating effectively in Agile environments.

Highest‑signal resume keywords

• Python Programming
• SQL Proficiency
• Palantir Foundry Experience
• Data Pipeline Development
• Data Modeling

Hard Skills

• Data Engineering
• ETL/ELT Pipeline Design
• Data Quality Validation
• Data Transformation
• Foundry Ontology Development
• PySpark
• Spark
• Pandas
• Version Control
• CI/CD Implementation

Soft Skills

• Analytical Skills
• Problem‑Solving
• Communication
• Documentation
• Collaboration

Certifications & Qualifications

• Bachelor’s Degree in Computer Science
• Active DoD Secret Security Clearance
• DoD 8140 Cybersecurity Qualification

Industry Keywords

• Data Integration
• Data Products
• Enterprise Data Structures
• Agile Environment
• DoD Systems

Tools & Technologies

• Army Vantage
• Palantir Foundry
• APIs
• Cloud Data Services
• Agile Methodologies