Senior Associate, Application Developer - Data Engineer

L3Harris Technologies is undertaking a large-scale Data and AI transformation program that integrates legacy enterprise systems and builds AI applications on unified data. The company is seeking a Senior Associate, Application Developer - Full Stack Palantir Foundry Application Specialist to develop, test, and support full-stack applications, workflows, and data pipelines within the Palantir Foundry platform.

Responsibilities:

• Support the design, development, testing, and maintenance of full stack applications, workflows, and supporting services within the Palantir Foundry platform
• Develop user-facing functionality, backend logic, and workflow features to support enterprise use cases across finance, supply chain, operations, engineering, and strategic planning
• Translate user stories and functional requirements into technical solutions with guidance from senior developers and architects
• Assist with development and maintenance of batch and near-real-time data pipelines integrating legacy enterprise systems into Foundry
• Implement data transformations, validations, and quality checks to support reliable and accurate data products
• Work with data architects and senior engineers to align development with ontology models, governance standards, and integration patterns
• Write clean, maintainable, and well-documented code following team standards for coding, testing, and review
• Participate in unit testing, integration testing, debugging, and defect resolution across application and data components
• Contribute to frontend and backend enhancements, including UI components, APIs, pipeline logic, and workflow automation
• Participate in agile ceremonies such as sprint planning, backlog refinement, daily standups, demos, and retrospectives
• Provide task status updates, identify blockers, and support delivery commitments for assigned work
• Contribute to continuous improvement of team development practices and tooling
• Work closely with product owners, business analysts, architects, and peer developers to understand requirements and deliver effective technical solutions
• Collaborate with security, infrastructure, and operations teams to support compliant and reliable deployments
• Learn and apply enterprise architecture standards, secure development practices, and platform development guidelines
• Develop proficiency in Palantir Foundry development frameworks, ontology-driven application development, and enterprise data integration patterns
• Leverage modern development tools, including AI-assisted engineering tools where appropriate, to improve productivity and quality
• Continuously build technical knowledge in software engineering, data engineering, and platform-based application delivery

Requirements:

• 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
• Experience developing software applications using modern programming languages such as Python, Java, TypeScript, JavaScript, or similar
• Experience with full stack software development, including frontend development, backend services, APIs, and data-driven applications
• Experience working with relational or non-relational databases, data transformation logic, and systems integration
• Understanding of software engineering best practices including version control, code reviews, unit testing, debugging, and CI/CD concepts
• Experience working in agile development environments and collaborating with cross-functional teams
• Strong problem-solving, communication, and teamwork skills
• Experience with Palantir Foundry, including pipelines, Code Repositories, Workshop, Operational Applications, or ontology-based development
• Experience building or supporting enterprise data pipelines, ETL processes, or application integrations across multiple systems
• Experience with frontend frameworks such as React or Angular
• Experience with backend/API development and scripting in Python or Java
• Familiarity with cloud platforms, DevOps concepts, containerization, or infrastructure automation
• Exposure to AI/ML-enabled workflows, analytics applications, or data products
• Experience in regulated industries such as defense, aerospace, manufacturing, finance, or healthcare
• Familiarity with secure software development practices and data governance concepts