Data Scientist / Palantir Data Engineer (1039)

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.

Qualifications

• 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).