Data Engineer

Endurance Group•Fayetteville, NC

About The Position

Endurance Group is seeking a Data Engineer to develop and maintain secure data integration, transformation, and analysis workflows, primarily involving Palantir platforms and SharePoint-based information sources. The role extracts, screens, validates, and organizes structured and semi-structured data into reliable, analysis-ready datasets that support operational reporting, situational awareness, and mission decision-making. Working with technical and mission stakeholders, the Data Engineer improves data discoverability, accuracy, consistency, and accessibility by turning distributed SharePoint content and enterprise data into governed data products, repeatable workflows, and actionable insights.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
At least 3 years of hands-on data engineering experience.
Secret security clearance.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong understanding of data modeling and database design principles.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a fast-paced environment.

Nice To Haves

Strong SQL and Python skills, including data extraction, transformation, validation, and automation.
Experience with Palantir Foundry or comparable enterprise data integration and analytics platforms; direct Palantir experience is strongly preferred.
Experience working with SharePoint lists, document libraries, metadata, permissions, and Microsoft 365 data sources.
Knowledge of APIs, connectors, ETL/ELT workflows, data modeling, data quality, metadata, lineage, and governed data access.
Ability to develop screening logic, filtering criteria, reconciliation processes, and reproducible datasets for operational analysis.
Ability to work with multidisciplinary technical and operational teams and maintain sound engineering documentation and practices.
Experience with Palantir Foundry pipelines, ontology/data modeling, SharePoint REST APIs or Microsoft Graph, Power Query, Power BI, Azure data services, and government or defense data environments.

Responsibilities

Develop and maintain data ingestion and transformation workflows connecting SharePoint and other approved enterprise sources to Palantir environments.
Screen and assess SharePoint lists, libraries, files, and metadata for completeness, accuracy, duplication, relevance, and data quality.
Develop reusable datasets, feature tables, and standardized semantic definitions for consistent reporting and analysis.
Build curated datasets, data models, and repeatable analytical workflows supporting operational dashboards, reporting, and data-driven decisions.
Implement appropriate data access controls, documentation, lineage, and quality assurance for sensitive operational information.