Forward Deployed Engineering Lead - Data Science & Integration

About the role

We believe technology should serve the greater good—powering mission outcomes, stewarding taxpayer resources, and enabling innovation at speed and scale. We are seeking a highly accomplished and senior-level Forward Deployed Engineer (FDE) to join our elite Public Sector team.

Responsibilities

• 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 MuleSoft 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—ensuring 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.

Requirements

• 8+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions, ideally in customer-facing or field-deployed settings.
• Strong background in Computer Science, Data Science, or a related engineering discipline.
• Expert-level proficiency in one or more programming languages (e.g., Python, Java, SQL).
• Extensive hands-on experience building and deploying AI/ML solutions, including model development, MLOps pipelines, LLM integration, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex).
• Demonstrated expertise in enterprise integration platforms and API-led connectivity design, with experience in tools such as MuleSoft Anypoint Platform, Dell Boomi, Apigee, Azure API Management, or equivalent; direct MuleSoft experience is a plus.
• Demonstrated expertise in workflow orchestration and process automation platforms, with experience in tools such as Regrello, Temporal, Prefect, Apache Airflow, or equivalent; direct Regrello experience is a plus.
• Deep expertise in data modeling, processing, and analytics with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
• A "get-things-done" attitude with a proven ability to deliver fast and impactfully in ambiguous, customer-site environments.
• Exceptional communication and presentation skills—able to articulate complex data science and integration concepts to both technical and non-technical mission stakeholders.
• 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.

Qualifications

• 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.