Lead Forward Deployed Engineer – Data Science, Integration

🕒 September 3

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $172.5k - $260.1k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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