Senior Associate, Application Developer – Data Engineer

🕒 Outubro 7

🐊 Florida, New York, +3 estados a mais – Remoto

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

💵 $70.500 - $130.500 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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L3Harris Technologies

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏭 Manufatura

💼 Consultoria

📦 Logística

Manufacturing • Consulting • Logistics

L3Harris Technologies é um líder global em tecnologias aeroespaciais e de defesa. A empresa é especializada em fornecer soluções avançadas de comunicação, sistemas eletrônicos e software para uma ampla gama de aplicações nos mercados de defesa e civil. Com um forte compromisso com a inovação, a L3Harris apoia forças militares, agências governamentais e empresas comerciais para melhorar suas capacidades operacionais.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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