Senior Associate Application Developer, Data Engineer

L3Harris

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Remote

Quick summary

Work type: Remote
Location: Melbourne, FLArlington, VAHerndon, VASalt Lake City, UTGreenville, TXPlano, TXRochester, NY
Salary: $80,500–$149,500 / yr
Posted: 20 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k

This role $115k

$66k $211k

below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $126,750–$197,318 — the blue band above. At the midpoint, this role pays about $115k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About L3Harris

L3Harris Technologies is a US aerospace and defense technology company providing space and airborne systems, communications, electronic warfare, and missile propulsion solutions for government and commercial customers.

L3Harris currently has 877 open roles on FindRole.

Listed pay typically runs $106,500–$197,500 across 350 roles with salary data.

Most-posted roles

View all roles at L3Harris

At a glance

TL;DR · Senior Associate Application Developer, Data Engineer

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The Senior Associate, Application Developer - Data Engineer joins the Transformation team to support a large-scale Data/AI implementation within the defense contracting sector. Working in an agile, cross-functional environment, the developer builds, tests, and supports applications, workflows, and data pipelines using the Palantir Foundry platform. Key responsibilities include developing robust pipelines for data ingestion, transformation, and enrichment while translating complex business requirements into reliable data assets. The role requires proficiency in Python, TypeScript, or JavaScript, along with experience in ETL/ELT workflows, relational or non-relational databases, and software engineering best practices like version control and unit testing. The position addresses the technical challenge of integrating approximately 100 legacy systems, including ERP and supply chain systems, into a unified, ontology-aligned data architecture for enterprise-scale AI applications.

Skills

Palantir Foundry Python TypeScript JavaScript ETL ELT Data Pipelines CI/CD Data Modeling Unit Testing Version Control Data Governance AI ML Agile Data Engineering

What you'll do

Build and optimize high-performance data pipelines for enterprise-scale processing and data availability.
Implement data ingestion, transformation, enrichment, and monitoring logic to ensure accurate and dependable data products.
Translate business requirements and operational processes into technical data transformation logic.
Develop curated datasets and reusable data products to support analytics, reporting, and AI-enabled applications.
Align data products with enterprise architecture standards and ontology models within the Palantir Foundry platform.
Implement data quality checks, reconciliation logic, and observability mechanisms to ensure data integrity.
Write clean, well-documented code following standards for version control, peer review, and continuous integration.
Participate in agile ceremonies including sprint planning, daily standups, and backlog refinement.

What we're looking for

Must have a Bachelor’s Degree and at least 2 years of relevant experience.
Must have a Graduate Degree and 0 to 2 years of related experience.
Must have at least 6 years of related experience in lieu of a degree.
Must be a U.S. citizen to obtain a required security clearance.
Experience developing data-intensive software solutions using Python, TypeScript, or JavaScript (preferred).
Experience building and maintaining data pipelines, ETL/ELT workflows, or system integrations (preferred).
Experience with Palantir Foundry, including Pipelines, Code Repositories, and Ontology (preferred).
Experience in regulated industries such as defense, aerospace, manufacturing, finance, or healthcare (preferred).

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