Palantir Foundry Data Engineer — Federal Mission Impact

Navaide; Arlington (TX); Híbrido; USD 100 000 - 175 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation

Medical, dental & vision

Flexible time off

401(K) matching

Professional development

Resumo da oferta

Navaide seeks a Data Engineer to lead data engineering and analytics within Palantir Foundry. You will design production pipelines, manage data connections, and extend ontologies to support mission-critical processes.

The role requires 4+ years in data/analytics engineering, strong Python/SQL, and experience with DoD or federal environments. Hybrid work is offered, with opportunities for collaboration across departments.

Qualificações

• 4+ years in data engineering/platform/analytics engineering
• Hands-on production pipelines and ontologies in Palantir Foundry (Pipeline Builder, Code Repositories, Ontology Manager, Data Lineage)
• Strong Python and SQL; familiarity with TypeScript/JavaScript
• Experience in DoD or federal environments
• Familiarity with Navy/DON/DoD logistics, finance, or personnel data
• Excellent written and verbal communication

Responsabilidades

• Design and build ETL/ELT pipelines in Foundry’s Pipeline Builder and Code Repositories.
• Connect external sources to Foundry via Data Connection and unify data domains.
• Model ontologies in Ontology Manager to reflect mission processes.
• Ensure data quality, lineage, and compliance; monitor performance and SLA adherence.
• Collaborate with analysts, product leads, and stakeholders; mentor junior engineers.

Conhecimentos

Python

SQL

Palantir Foundry

Data engineering

Databricks

Snowflake

dbt

Data connections

Ontology modeling

Communication

Formação académica

Bachelor's degree in CS or related field

Ferramentas

Databricks

Snowflake

dbt

Foundry Data Connection

Descrição da oferta de emprego

Navaide seeks a Data Engineer to lead data engineering and analytics within Palantir Foundry. You will design production pipelines, manage data connections, and extend ontologies to support mission-critical processes.

The role requires 4+ years in data/analytics engineering, strong Python/SQL, and experience with DoD or federal environments. Hybrid work is offered, with opportunities for collaboration across departments.