Senior Data Engineer: Palantir/Databricks SME (Secret)

SMX; Montpelier (VT); Vor Ort; USD 144.000 - 225.000; Vollzeit

Benefits dieser Stelle

Health Insurance

Paid Leave

Retirement

Zusammenfassung

SMX seeks a Palantir/Databricks SME to lead enterprise data modernization, guiding the design and development of data pipelines and integration patterns for migrating legacy logic into a configurable LCNC solution on an enterprise data platform. Your expertise will shape how the Army builds and scales its new financial management capabilities.

You will architect data ingestion pipelines from SAP and non-SAP sources, build reusable transformations in Palantir Foundry and Databricks, and create

Qualifikationen

• Active U.S. Secret Clearance (or higher).
• 5+ years of data engineering experience, with hands-on knowledge of Palantir Foundry and Databricks.
• Deep expertise in data architecture, building and optimizing data pipelines, data modeling, and Python scripting for data transformation.

Aufgaben

• Architect and build governed data ingestion pipelines from SAP and non-SAP sources.
• Develop reusable data transformation, validation, and summarization logic within Palantir Foundry and Databricks.
• Engineer secure, bi-directional integration patterns to post and retract data from legacy ERP systems, preserving them as the authoritative system of record.
• Translate functional requirements into robust technical designs, scalable data models, and configurable business rule engines.

Kenntnisse

Data engineering

Data architecture

Data modeling

Python scripting

Tools

Palantir Foundry

Databricks

Jobbeschreibung

SMX seeks a Palantir/Databricks SME to lead enterprise data modernization, guiding the design and development of data pipelines and integration patterns for migrating legacy logic into a configurable LCNC solution on an enterprise data platform. Your expertise will shape how the Army builds and scales its new financial management capabilities.

You will architect data ingestion pipelines from SAP and non-SAP sources, build reusable transformations in Palantir Foundry and Databricks, and create