Senior Data Engineer: Palantir Foundry & Databricks SME

SMX; Austin (TX); On-site; USD 144,000 - 225,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement

Job summary

SMX is hiring Palantir/Databricks SMEs to serve as the lead technical authority for an enterprise-level legacy systems modernization effort. You will guide the design and development of data pipelines and integration patterns, migrating legacy business 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, architecting governed data ingestion from SAP and non-SAP sources, and

Qualifications

• Active U.S. Secret clearance (or higher) is required.
• 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.

Responsibilities

• 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.

Skills

Security clearance

Palantir Foundry

Databricks

Data architecture

Data pipelines

Data modeling

Python scripting

Tools

Palantir Foundry

Databricks

Job description

SMX is hiring Palantir/Databricks SMEs to serve as the lead technical authority for an enterprise-level legacy systems modernization effort. You will guide the design and development of data pipelines and integration patterns, migrating legacy business 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, architecting governed data ingestion from SAP and non-SAP sources, and