Data Engineer Intern: Palantir Foundry & Data Pipelines

Harris Geospatial Solutions; Los Angeles (CA); On-site; USD 40,000 - 73,000; Full time

Job summary

L3Harris Technologies is seeking an Application Development Intern in Canoga Park, CA to support data engineering efforts within the Enterprise Data and AI team. You will design and maintain data pipelines, ensure data quality, and develop dashboards using Palantir Foundry to deliver reliable insights for the enterprise.

The role emphasizes building scalable data solutions, aligning with data standards, and collaborating with cross-functional teams.

Qualifications

• Pursuing a Bachelor's degree in IT, CS or related field.
• Strong interest in data engineering and BI.
• Eligible for internship in the US.

Responsibilities

• Design, build, and maintain robust data pipelines across the enterprise.
• Maintain data pipeline schedules, orchestrate workflows, and monitor health of pipelines.
• Create, update, and optimize data connections, datasets, and transformations.
• Troubleshoot and resolve data sync issues to ensure correct data flow.
• Collaborate with cross-functional teams to uphold data quality standards.
• Utilize Palantir Foundry to establish data connections, extract and load data, and model data.
• Develop and manage data cleansing, consolidation, and integration mechanisms for analytics at scale.
• Build visualizations using Palantir Foundry tools and assist users with testing and documentation.

Skills

Python

Pandas

Databricks

JavaScript

TypeScript

Education

Bachelor's degree in Information Technology, Computer Science or related field

Tools

Palantir Foundry

Snowflake

Azure Data Factory

SSIS

Informatica

Talend

Job description

L3Harris Technologies is seeking an Application Development Intern in Canoga Park, CA to support data engineering efforts within the Enterprise Data and AI team. You will design and maintain data pipelines, ensure data quality, and develop dashboards using Palantir Foundry to deliver reliable insights for the enterprise.

The role emphasizes building scalable data solutions, aligning with data standards, and collaborating with cross-functional teams.