Lead Data Engineer - Palantir Foundry & Databricks (Secret)

SMX

Providence (RI)

On-site

USD 144,000 - 225,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Paid leave
Retirement plan

Job summary

SMX is hiring to serve as the lead technical authority for a major 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 for the Army.

You will architect and build data ingestion pipelines, develop reusable data transformation logic in Palantir Foundry and Databricks, and engineer secure integration patterns with

Qualifications

  • 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.

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

Secret clearance
Palantir Foundry
Databricks
Python scripting
Data architecture

Tools

Python

Job description

SMX is hiring to serve as the lead technical authority for a major 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 for the Army.

You will architect and build data ingestion pipelines, develop reusable data transformation logic in Palantir Foundry and Databricks, and engineer secure integration patterns with

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