Lead Forward Deployed Engineer – Data Science, Integration

🕒 Setembro 3

⚔️ Virginia – Remoto

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💵 $172.500 - $260.100 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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👻 Score fantasma 10%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Salesforce

10.000+ funcionários

Fundada em 1999

💼 Consultoria

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

O Salesforce é uma empresa líder em software baseado em nuvem que fornece uma plataforma abrangente de gerenciamento de relacionamento com o cliente (CRM). A plataforma conecta todos os dados e equipes da empresa em um sistema integrado e orientado por IA para melhorar as vendas, o atendimento ao cliente e os esforços de marketing. O Salesforce oferece soluções escaláveis para empresas de todos os portes, incluindo pequenas e médias empresas, e fornece soluções específicas para setores industriais que modernizam operações, economizam tempo e reduzem custos. O Salesforce também oferece recursos educacionais através do Trailhead e uma ampla seleção de aplicativos no AppExchange para expandir as capacidades de seu CRM.

Descrição

• Serve as the forward-deployed technical lead on customer engagements for defense, intelligence, and aerospace missions • Design, build, and deploy tailored data science and integration solutions on-site • Architect and implement enterprise integrations using MuleSoft Anypoint Platform or equivalent iPaaS tooling • Design and deploy workflow automation using Regrello or equivalent orchestration tooling • Integrate AI/ML models, custom data pipelines, and automation flows for predictive maintenance, personnel planning, and logistics decisions • Work with customer IT and security teams to accelerate Authority to Operate and production go-lives under DoD IL5/IL6 and applicable regulatory frameworks • Partner with internal product and engineering teams to co-develop integration patterns and data science capabilities • Enable adoption of modern data platforms and integration middleware for field operations, asset visibility, command center analytics, and secure workflows • Mentor junior FDEs and share lessons learned with the engineering community • Translate mission priorities into data and integration roadmaps and present recommendations to senior stakeholders • Design and implement production ML and analytics systems, predictive models, intelligent automation pipelines, and LLM-augmented workflows • Own data modeling, ETL/ELT pipelines, feature engineering, and integration strategy • Lead rapid prototyping and MVP development with customer teams

🎯 Requisitos

• 8+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions • Strong background in Computer Science, Data Science, or a related engineering discipline • Expert-level proficiency in one or more programming languages, such as Python, Java, or SQL • Extensive hands-on experience building and deploying AI/ML solutions, including model development, MLOps pipelines, LLM integration, prompt engineering, and agentic frameworks • Demonstrated expertise in enterprise integration platforms and API-led connectivity design • Demonstrated expertise in workflow orchestration and process automation platforms • Deep expertise in data modeling, processing, and analytics with enterprise data platforms • Proven ability to deliver in ambiguous, customer-site environments • Exceptional communication and presentation skills • Proven ability to lead technical engagements, mentor junior FDEs, and own technical delivery end-to-end • Ability to travel 50-75% of the time to customer sites, including classified facilities • Must be a U.S. citizen (U.S. born or naturalized) living on U.S. soil who does not hold dual citizenship • Eligible for and willing to obtain a U.S. Security Clearance • Must agree to complete a U.S. federal government Minimum Background Investigation (MBI) for a Moderate Public Trust position

🏖️ Benefícios

• Time off programs • Medical insurance • Dental insurance • Vision insurance • Mental health support • Paid parental leave • Life insurance • Disability insurance • 401(k) • Employee stock purchasing program • Incentive compensation, as applicable • Equity, as applicable • Reasonable accommodation during the application or recruiting process

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