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# Data Scientist / Palantir Data Engineer (1039)

- **Company:** Herdt Consulting Inc
- **Location:** Alexandria, VA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Standard Sql, SAP (Applications), SAP NetWeaver Data Management, Signavio, Apache Spark, SC Clearance, Pyspark, Data Delivery, Data Pipelines, Databricks
- **Published:** July 14, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9027878/data-scientist-palantir-data-engineer-1039

## About the Role

* Hands-on experience with Palantir Foundry or a similar enterprise-level data platform.
 * Strong SQL and Python skills, coupled with direct experience in ETL/data engineering and large-scale analytics.
 * Proven experience supporting Department of Defense (DoD) ERP or SAP data environments.
 * Active Secret Clearance.

 * Experience working with Advana/Jupiter, Databricks, Spark/PySpark, or Process Mining tools (such as Celonis or Signavio).

## Description

Herdt Consulting is preparing to support a large-scale enterprise systems program for the U.S. Navy, delivering mission-critical ERP modernization, and optimization services across its supported commands. This program enables financial, supply chain, and procurement operations within a highly regulated DoD environment, requiring seamless alignment between business processes, technology, and data to ensure compliance, performance, and mission readiness.

The Data Scientist / Palantir Data Engineer will design and build Palantir Foundry-based analytics and data engineering solutions supporting ERP+ migration, enabling large-scale data profiling, anomaly detection, reconciliation, and migration quality metrics.

 * Develop Foundry pipelines, analytics, and data engineering solutions specifically tailored for SAP migration.
 * Build robust data quality dashboards, reconciliation controls, and migration metrics. Develop scalable profiling, cleansing, matching, and anomaly detection capabilities.
 * Integrate SAP, Advana/Jupiter, Databricks, and other critical enterprise data sources to maintain data continuity.
 * Support process mining, AI/ML, automation, and data governance initiatives across the enterprise program.
 * Partner with migration, functional, and architecture teams to ensure seamless data delivery and system performance.


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