Senior Data Engineer & Full‑Stack Developer (Remote)

L3Harris Technologies; Austin (TX); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Disability insurance

401(k) match

Flexible spending accounts

Education assistance

Parental leave

Paid time off

Company-paid holidays

Job summary

L3Harris Technologies seeks a Senior Associate, Application Developer - Data Engineer to design and optimize data pipelines and AI-enabled workflows within Palantir Foundry. You will work with cross-functional teams to ensure reliable, scalable data products that support key enterprise use cases.

Responsibilities include translating complex requirements into data transformation logic, maintaining data quality, and aligning with enterprise standards.

Qualifications

• Bachelor’s Degree and minimum 2 years of prior relevant experience.
• Graduate Degree or equivalent with 0 to 2 years of prior related experience.
• In lieu of a degree, minimum of 6 years of prior related experience.

Responsibilities

• Build and optimize robust, reliable pipelines for enterprise processing.
• Implement data ingestion, transformation, enrichment, validation, and monitoring logic.
• Translate business requirements into data transformation logic that produces trusted data assets.
• Implement transformation frameworks to encode business logic across source systems.
• Collaborate with analysts and owners to ensure outputs reflect defined rules and calculations.

Skills

Python

TypeScript

JavaScript

Data pipelines

ETL/ELT

Databases

CI/CD

Data quality

Palantir Foundry

Ontology

Data modeling

AI/ML workflows

Education

Bachelor’s degree

Graduate degree

Experience in lieu of degree

Tools

Palantir Foundry

Job description

L3Harris Technologies seeks a Senior Associate, Application Developer - Data Engineer to design and optimize data pipelines and AI-enabled workflows within Palantir Foundry. You will work with cross-functional teams to ensure reliable, scalable data products that support key enterprise use cases.

Responsibilities include translating complex requirements into data transformation logic, maintaining data quality, and aligning with enterprise standards.