Senior Associate, Application Developer - Data Engineer Job Details | L3HHCM20

L3Harris Technologies is undertaking a large-scale data and AI implementation that integrates legacy systems and supports enterprise use cases. The Senior Associate, Application Developer – Data Engineer develops, tests, and supports data pipelines, applications, and workflows in Palantir Foundry, delivering secure and scalable data products for enterprise operations and AI-enabled applications.

Responsibilities:

• 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

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 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