The L3Harris Transformation team is seeking a Full Stack Developer to contribute to the development, testing, and support of applications, workflows, and data pipelines within the Palantir Foundry platform. This role will work as part of an agile, cross-functional team alongside architects, business system analysts, product owners, and senior developers to implement secure, scalable, and maintainable solutions that support critical enterprise use cases.
Essential Functions
Build and optimize robust, reliable, and high-performance pipelines that support enterprise-scale processing, data availability, and downstream application performance.
Implement data ingestion, transformation, enrichment, validation, and monitoring logic to ensure data products are accurate, timely, and operationally dependable.
Support pipeline troubleshooting, performance tuning, and defect resolution to improve resiliency, maintainability, and scalability.
Translate business requirements, operational processes, and domain rules into data transformation logic that produces meaningful, trusted, and consumable data assets.
Implement transformation frameworks that encode business logic consistently across source systems and downstream use cases.
Work with business analysts, product owners, and domain stakeholders to ensure data outputs reflect agreed-upon rules, calculations, and definitions.
Contribute to the development of curated datasets and reusable data products that support analytics, reporting, operational workflows, and AI-enabled applications.
Work closely with data architects and senior engineers to align pipelines and data products with enterprise architecture standards and standardized ontology models within Palantir Foundry.
Support the implementation and refinement of ontology-aligned datasets, object relationships, and semantic models that enable interoperability across domains and applications.
Contribute to the adoption of common patterns, naming conventions, governance practices, and integration standards to improve consistency and reuse across the platform.
Partner with architecture teams to ensure data engineering solutions are scalable, maintainable, and aligned to long-term enterprise data strategy.
Implement data quality checks, reconciliation logic, validation rules, and observability mechanisms to ensure confidence in enterprise data products.
Support governance requirements through traceable transformation logic, documentation, lineage awareness, and adherence to platform and enterprise standards.
Collaborate with security, infrastructure, and operations teams to support compliant, secure, and reliable deployment of data solutions in a regulated environment.
Write clean, maintainable, and well-documented code following team standards for version control, peer review, testing, and deployment.
Participate in unit testing, integration testing, debugging, and continuous improvement across pipeline and data product components.
Leverage modern engineering tools, including AI-assisted development tools where appropriate, to improve productivity, quality, and consistency.
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.
Work closely with architects, product owners, business analysts, and peer engineers to understand requirements and deliver effective technical solutions.
Contribute to continuous improvement of team engineering practices, tooling, and delivery processes.
Develop proficiency in Palantir Foundry development frameworks, enterprise data integration patterns, ontology-driven development, and data platform best practices.
Continuously build technical knowledge in data engineering, data modeling, software engineering, and enterprise platform delivery.
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.
Preferred Additional Skills
Experience developing data-intensive software solutions using modern programming languages such as Python, TypeScript, JavaScript, or similar
Experience building, supporting, or maintaining data pipelines, ETL/ELT workflows, or system integrations
Experience working with relational or non-relational databases, structured and semi-structured data, and transformation logic
Understanding of software engineering best practices including version control, code reviews, unit testing, debugging, and CI/CD concepts
Familiarity with data quality, validation, and troubleshooting techniques in data workflows
Experience with Palantir Foundry, including Pipelines, Code Repositories, Ontology, Workshop, Operational Applications, or ontology-based development
Experience designing or supporting robust, high-performance enterprise data pipelines across multiple source systems
Experience implementing business logic within data transformations to support operational or analytical use cases
Exposure to AI/ML-enabled workflows, analytics applications, or operational data products
Experience in regulated industries such as defense, aerospace, manufacturing, finance, or healthcare
Familiarity with secure software development practices, data governance concepts, and enterprise data management principles
In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $80,500-$149,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $70,500-$130,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.
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L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.
Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
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