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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Associate, Application Developer - Data Engineer - **Company:** L3Harris Technologies, Inc. - **Location:** Salt Lake City, UT, United States (Remote available) - **Experience:** Expert - **Salary:** $80,500.0 - $149,500.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Business Analytics Applications, Business Logic, Application Performance Management, Unit Testing, Code Review, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Systems, Software Debugging, Python (Programming Language), Operational Data Store, Performance Tuning, Scrum Methodology, Software Construction, Software Engineering, Software Systems, Systems Integration, TypeScript, Enterprise Data Management, Software Repository, Data Ingestion, Palantir Foundry, Data Strategy, Semi-structured Data, Integration Tests, Non-relational Database, Software Version Control, Data Pipelines, Programming Languages - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-associate-application-developer-data-engineer--156d4b55-cc68-4bdc-ad06-8898e5362bb5 ## About the Role Software Development, Software Development, Artificial Intelligence (AI), Strategic Planning, Use Cases, Product Lifecycle Management, Project/Program Management, Supply Chain, ERP (Enterprise Resource Planning), Aerospace and Defense, * 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 ## Description * 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., 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.