Data Integration Engineer (Systems Engineer, Sr)

Major Responsibilities

• Design and maintain data-exchange infrastructure connecting simulation, analytics, and digital-engineering systems.
• Develop and optimize APIs including REST and GraphQL interfaces with strong schema governance.
• Implement robust data-access layers with indexing, query optimization, and model governance for evolving data domains.
• Build high-performance backend services in Python, C++, or Rust.
• Integrate and optimize database schemas across relational, graph, and document stores.
• Ensure reliability and observability through logging, metrics, tracing, error handling, and automated testing.
• Collaborate across engineering teams to define clean integration boundaries and support mission-critical workflows.
• Support secure data operations including authentication, authorization, secrets management, and encryption.
• Contribute to CI/CD integration and partner with DevOps on build, deploy, and runtime environments.

Ideal Experience

• STEM foundation — Bachelor’s degree in CS, Engineering, Mathematics, or related field, or equivalent experience.
• Backend & data-service development — 1–5 years building backend systems, APIs, and data-driven services.
• API design expertise — Experience designing REST/GraphQL interfaces, schemas, and integration patterns.
• High-performance backend programming — Proficiency in Python, C++, or Rust.
• Database schema & modeling — Experience with PostgreSQL, Neo4j, or document databases.
• Data-access architecture — Ability to design indexing strategies, query paths, and governance models.
• Service reliability fundamentals — Observability, error handling, contract validation, and automated testing.
• API & data security — Authentication, authorization, secrets management, and encryption.
• CI/CD integration — Experience integrating backend services into CI/CD pipelines.
• Cross-functional collaboration — Ability to work with frontend, simulation, systems, and DevOps teams.
• Security eligibility — U.S. Citizen; able to obtain and maintain DoD Secret clearance (TS/SCI preferred).

Desired Skills

• Multi-protocol API development — REST, gRPC, SOAP, GraphQL.
• Graph-based data modeling — Knowledge of metadata lineage and digital-thread architectures.
• High-throughput data APIs — Real-time APIs, streaming systems, binary formats, and performance tuning.
• HPC-adjacent workflows — Simulation data, scientific computation, or data-dense analytics.
• Microservice architectures — Containerized deployments and service-to-service communication.
• API design for diverse consumers — Interfaces for UIs, pipelines, and automated systems.
• Regulated industry exposure — Aerospace, defense, or other high-integrity domains.
• Open-source contributions — Backend frameworks, API libraries, or data-modeling tools.