Data Scientist / Palantir Data Engineer - REMOTE (1039)
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Job 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., * Pipeline & Analytics Development: Develop Foundry pipelines, analytics, and data engineering solutions specifically tailored for SAP migration. * Data Quality & Metrics: Build robust data quality dashboards, reconciliation controls, and migration metrics. Develop scalable profiling, cleansing, matching, and anomaly detection capabilities. * Systems Integration: Integrate SAP, Advana/Jupiter, Databricks, and other critical enterprise data sources to maintain data continuity. * Advanced Automation: Support process mining, AI/ML, automation, and data governance initiatives across the enterprise program. * Cross-Functional Collaboration: Partner with migration, functional, and architecture teams to ensure seamless data delivery and system performance.
Requirements
* Platform Expertise: Hands-on experience with Palantir Foundry or a similar enterprise-level data platform. * Technical Skills: Strong SQL and Python skills, coupled with direct experience in ETL/data engineering and large-scale analytics. * Domain Experience: Proven experience supporting Department of Defense (DoD) ERP or SAP data environments. * Clearance: Active Secret Clearance.
Preferred Qualifications
* Advanced Data Tooling: Experience working with Advana/Jupiter, Databricks, Spark/PySpark, or Process Mining tools (such as Celonis or Signavio).
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