Senior Associate, Application Developer – Data Engineer

🔥 0 minutes ago

🐊 Florida, New York, +3 more states – Remote

🐊 Florida – Remote 🗽 New York – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote

💵 $70.5k - $130.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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L3Harris Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

L3Harris Technologies is a global aerospace and defense technology innovator, specializing in providing advanced solutions across air, land, sea, space, and cyber domains. The company focuses on delivering capabilities in areas such as autonomous systems, command and control, electronic warfare, and resilient communications, supporting both national security and commercial markets. Committed to innovation, L3Harris Technologies aims to advance technologies that enable their customers to effectively tackle the most complex challenges.

📋 Description

• Build and optimize robust, reliable, high-performance data pipelines • Implement data ingestion, transformation, enrichment, validation, and monitoring logic • Troubleshoot pipelines, tune performance, and resolve defects • Translate business requirements, operational processes, and domain rules into data transformation logic • Implement transformation frameworks encoding business logic across source systems and downstream use cases • Collaborate with business analysts, product owners, and domain stakeholders on data rules, calculations, and definitions • Develop curated datasets and reusable data products for analytics, reporting, operational workflows, and AI-enabled applications • Align pipelines and data products with enterprise architecture standards and ontology models in Palantir Foundry • Implement ontology-aligned datasets, object relationships, and semantic models • Support common patterns, naming conventions, governance practices, and integration standards • Implement data quality checks, reconciliation logic, validation rules, and observability mechanisms • Support governance through traceable transformation logic, documentation, lineage awareness, and adherence to standards • Collaborate with security, infrastructure, and operations teams on compliant, secure, reliable deployments • Write clean, maintainable, documented code following standards for version control, peer review, testing, and deployment • Participate in unit testing, integration testing, debugging, and continuous improvement • Leverage modern engineering tools, including AI-assisted development tools where appropriate • Participate in agile ceremonies including sprint planning, backlog refinement, standups, demos, and retrospectives • Provide task status updates, identify blockers, and support delivery commitments • Contribute to continuous improvement of team engineering practices, tooling, and delivery processes • Build proficiency in Palantir Foundry development frameworks, enterprise data integration, ontology-driven development, and data platform best practices

🎯 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 Python, TypeScript, JavaScript, or similar • Experience building, supporting, or maintaining data pipelines, ETL/ELT workflows, or system integrations • Experience with relational or non-relational databases, structured and semi-structured data, and transformation logic • Understanding of 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 • 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

🏖️ Benefits

• Health and disability insurance • 401(k) match • Flexible spending accounts • Employee Assistance Program (EAP) • Education assistance • Parental leave • Paid time off • Company-paid holidays • 9/80 schedule with every other Friday off