Data Engineer Intern: Palantir Foundry & Pipelines

Harris Geospatial Solutions; Melbourne (FL); On-site; USD 32,000 - 48,000; Full time

Job summary

L3Harris Technologies in Melbourne, FL is seeking an Application Development Intern to join the Enterprise Data and AI team. You will help design and maintain data pipelines, ensure data quality, and create dashboards that empower decision-makers with reliable data.

The role focuses on building scalable data solutions in Palantir Foundry, supporting the Unified Data Layer, and collaborating with cross-functional teams to deliver enterprise insights.

Qualifications

• Pursuing a Bachelor’s degree in Information Technology, Computer Engineering, Computer Science or related field.
• Understanding of BI & DW development methodologies.
• Hands-on experience with Snowflake and cloud data platforms.
• Experience with Python and data tooling (Pandas, Databricks, JavaScript/TypeScript).
• Familiarity with ETL tools such as Palantir Foundry, ADF, SSIS, Informatica or Talend.

Responsibilities

• Design, build, and maintain robust data pipelines across the enterprise.
• Manage data pipeline schedules and monitor health for continuous data availability.
• Create, update, and optimize data connections, datasets, and transformations.
• Troubleshoot data sync issues and ensure data quality for reporting.
• Develop dashboards and data models in Palantir Foundry for enterprise insights.

Skills

BI & DW development

Python

JavaScript/TypeScript

ETL concepts

Data pipelines

Education

Bachelor’s degree in IT/CS/CE or related

Tools

Palantir Foundry

Snowflake

Azure Data Factory

SSIS

Informatica

Talend

PySpark / Spark SQL

Job description

L3Harris Technologies in Melbourne, FL is seeking an Application Development Intern to join the Enterprise Data and AI team. You will help design and maintain data pipelines, ensure data quality, and create dashboards that empower decision-makers with reliable data.

The role focuses on building scalable data solutions in Palantir Foundry, supporting the Unified Data Layer, and collaborating with cross-functional teams to deliver enterprise insights.