Senior Data Engineer - Palantir Foundry Pipelines (Remote)

L3Harris Technologies, Inc.; Florida; Remote; USD 81,000 - 150,000; Full time

Job summary

L3Harris Technologies, Inc. invites applications for a Senior Associate, Application Developer - Data Engineer to join the Palantir Foundry platform team.

You will design and optimize enterprise data pipelines, perform ingestion, transformation and validation, and partner with architects, analysts, and product owners to deliver secure, scalable data solutions for mission-critical use cases. This role emphasizes collaboration in an agile setting, building data products, upholding governance and

Qualifications

• Bachelor's degree with 2+ years of relevant experience, or graduate degree with 0–2 years.
• In lieu of degree, minimum of 6 years of related experience.

Responsibilities

• Build and optimize robust data pipelines for enterprise-scale processing.
• Implement data ingestion, transformation, enrichment, validation, and monitoring logic.
• Support pipeline troubleshooting, performance tuning, and defect resolution.
• Translate business requirements and rules into data transformation logic.
• Contribute to development of curated datasets and reusable data products.
• Collaborate with business analysts, product owners, and domain stakeholders.

Skills

Python

TypeScript

JavaScript

ETL/ELT

SQL

CI/CD

Data quality

AI/ML workflows

Ontology development

Education

Bachelor's degree with 2+ years experience; Graduate degree or equivalent with 0-2 years; in lieu of a degree, 6 years experience

Tools

Palantir Foundry

Job description

L3Harris Technologies, Inc. invites applications for a Senior Associate, Application Developer - Data Engineer to join the Palantir Foundry platform team.

You will design and optimize enterprise data pipelines, perform ingestion, transformation and validation, and partner with architects, analysts, and product owners to deliver secure, scalable data solutions for mission-critical use cases. This role emphasizes collaboration in an agile setting, building data products, upholding governance and