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Forward Deployed Engineering Lead - Data Science & Integration
Job in
East Honolulu, Honolulu County, Hawaii, USA
Listed on 2026-05-31
Listing for:
salesforce.com, inc.
Full Time
position Listed on 2026-05-31
Job specializations:
-
IT/Tech
AI Engineer, Data Engineer, Data Science Manager
Job Description & How to Apply Below
About the Role
We are seeking a highly accomplished and senior‑level Forward Deployed Engineer (FDE) to join our elite Public Sector team. This is a unique and high‑impact position, blending the roles of a hands‑on data scientist, integration architect, and strategic partner embedded directly with customers.
Mission Impact- Deploy Cutting-Edge Data Science & Integration Innovation - from API‑led integration ecosystems to orchestrated operational workflows to advanced ML pipelines, directly at customer sites in defense, intelligence, and aerospace environments, accelerating mission transformation.
- Become a Trusted Partner Embedded with Mission Owners
, working in classified and unclassified environments to deeply understand operational challenges and translate them into end‑to‑end data science and integration solutions using best‑fit tooling. - Drive Innovation at the Front Lines by serving as the connective bridge between customer missions and internal engineering teams, gathering frontline feedback to help co‑design integration patterns, workflow templates, and data science capabilities that strengthen national security outcomes.
- Improve Efficiency, Mission‑Readiness, and Trust by helping the U.S. and allied governments deploy integrated data technology stacks that deliver faster response times, better personnel utilization, and more effective logistics and asset management.
- Drive Tangible Outcomes through Hands‑On Implementation taking responsibility for end‑to‑end technical delivery of complex data pipelines, integration flows, and predictive models, personally writing critical code, configuring systems, and troubleshooting issues in the field while guiding junior team members.
- Build Transformative Data Science Solutions by taking primary ownership of designing, developing, and implementing high‑quality, scalable production ML and analytics systems, including predictive models, intelligent automation pipelines, and LLM‑augmented workflows.
- Engineer Bespoke Integration Architectures
, designing and building custom API‑led integrations using enterprise integration platforms—such as Mule Soft Anypoint Platform or equivalent middleware solutions—to ensure seamless connectivity across enterprise data sources, operational systems, and cloud environments in highly regulated settings. - Orchestrate Complex Workflows
, leveraging modern workflow automation and process orchestration platforms—such as Regrello or equivalent solutions—to model, automate, and optimize multi‑stakeholder operational processes in manufacturing, logistics, supply chain, and mission operations contexts. - Own the Entire Data Lifecycle on‑site with customers—from strategic data modeling to hands‑on ETL/ELT pipeline construction, feature engineering, and integration strategy—to ensure data is always ready, optimized, and secure for advanced analytics and AI applications.
- Lead Rapid Prototyping and Iteration
, developing proofs‑of‑concept and MVPs side‑by‑side with customer teams to demonstrate data science and integration capabilities and set the pace for rapid, mission‑aligned delivery.
- Serve as the forward‑deployed technical lead on high‑profile customer engagements—designing, building, and deploying tailored data science and integration solutions for defense, intelligence, and aerospace missions on‑site.
- Architect and implement enterprise integration solutions—using platforms such as Mule Soft Anypoint Platform or equivalent iPaaS tooling—including API design, development, and management across REST, SOAP, and event‑driven integration patterns within secure customer environments.
- Design and deploy workflow automation solutions—leveraging platforms such as Regrello or equivalent orchestration tooling—to model complex operational processes, coordinate cross‑functional teams, and surface data‑driven insights at key mission decision points.
- Lead integration of AI/ML models, custom data pipelines, and automation flows that enable predictive maintenance, personnel planning, and mission‑critical logistics decisions.
- Work with customer IT and security teams to accelerate Authority to Operate (ATO) and production go‑lives per DoD…
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