Senior Integration Engineer, MBSE

Emploi pas sur LinkedIn

🕒 il y a 25 jours

🇺🇸 États-Unis – Télétravail

💵 $121 161 - $200 000 / an

⏰ Temps Plein

🟠 Senior

👷🏻‍♀️ Ingénieur

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LMI

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1961

🤖 Intelligence artificielle

⚕️ Assurance santé

🏛️ Gouvernement

Artificial Intelligence • Healthcare Insurance • Government

LMI est une entreprise tournée vers l'avenir qui se concentre sur la réinvention du chemin de l'insight au résultat à travers des solutions innovantes dans divers secteurs, y compris l'IA appliquée et la santé numérique. Ils fournissent des analyses avancées, un support d'ingénierie et une optimisation des performances dans les marchés de la défense, de la santé et des marchés civils, avec un fort engagement à améliorer l'efficacité de la mission pour les clients gouvernementaux. Avec un accent sur la collaboration et la recherche, LMI vise à favoriser un changement positif grâce à ses capacités et partenariats diversifiés.

Description

• Translate enterprise architecture and Cameo model baselines into detailed systems engineering designs for interfaces, message flows, adapters, pipeline segments, validation services, and data routing logic. • Develop and maintain detailed Cameo SysML models that capture system interfaces, activity flows, message exchanges, traceability relationships, and allocation of functions across the integration fabric. • Define detailed technical designs for ingestion from structured, semi-structured, and unstructured sources, including OEM systems, APIs, file drops, message queues, databases, and transferred vendor systems. • Design data transformation logic for field-level enrichment, identifier crosswalks, unit normalization, DLMS and MILSTRIP translation, and conversion into modern schemas such as JSON and Parquet. • Produce detailed interface and integration designs for DAAS, ELMS/DPAS, DLA EBS/IDE, ILS-S, ESCAPE, Navy ERP, USTRANSCOM IGC, JPO systems, and Advana-aligned data pipelines. • Define system-level requirements and design patterns for transport, publish/subscribe messaging, point-to-point exchange, retries, buffering, quarantine logic, and ordered delivery where required by mission criticality. • Support detailed designs for metadata capture, schema validation, lineage, anomaly detection, and audit-grade provenance throughout the data lifecycle. • Engineer secure systems design patterns for data in transit and at rest, authentication, authorization, redaction, tagging, and Cross Domain Solution handling across classified and unclassified environments. • Work directly with development, data engineering, and platform teams to refine user stories, resolve design gaps, and ensure that implementation stays aligned with architecture and systems engineering intent. • Contribute to sprint reviews, integration planning, technical exchange meetings, and validation activities by explaining detailed technical behavior to both engineers and government stakeholders.

🎯 Exigences

• Bachelor’s degree in systems engineering, software engineering, computer science, information systems, electrical engineering, or a related technical field. • 8 or more years of relevant experience in systems engineering, solution engineering, data integration engineering, or enterprise application engineering in federal, defense, ERP, or logistics environments. • Demonstrated experience with model-based systems engineering using Cameo Systems Modeler / MagicDraw and SysML to capture system behavior, interfaces, activities, allocations, and traceability. • Strong experience designing integration solutions across ERP, logistics, and data platforms, including APIs, EDI/DLMS, databases, event streams, file-based exchange, and hybrid cloud/on-prem connectivity. • Practical experience with interface and pipeline design using technologies such as Kafka, NiFi, Airflow, Python, Spark, SQL, REST, GraphQL, SOAP, JDBC/ODBC, MQ, and related integration mechanisms. • Strong understanding of Defense Logistics Management Standards, MILSTRIP/MILSTRAP-style transactions, field mapping, schema validation, and translation to modern data structures. • Understanding of government logistics and sustainment systems and the roles they play in requisitioning, asset visibility, cataloging, transportation, maintenance, repair, and financial accountability. • Familiarity with DoD cybersecurity and deployment considerations, including IL designations, PKI, CAC/PIV, STIGs, RMF, audit logging, and secure movement of data across boundaries. • Active SECRET clearance or the ability to obtain and maintain one.

🏖️ Avantages

• High Fringe