The Boeing Company is seeking an Advanced Information Technologist Cloud Data Engineer to transform the way BDS data is sourced, managed, and utilized to unlock insights to drive business growth and optimization.
Requirements
- 2+ years professional experience as a Full Stack or Frontend/Backend Engineer building production web applications.
- Hands-on experience building React applications (hooks, state management, component design, testing).
- Experience developing backend services and APIs in Python, Node.js, or Java and working with relational databases (SQL) and managed DB services (RDS/Aurora).
- Practical experience with AWS cloud services for compute, storage, networking, and monitoring (Lambda, ECS/EKS, API Gateway, S3, RDS, CloudWatch).
- Experience with Infrastructure-as-Code (Terraform or CloudFormation) and CI/CD pipelines (GitLab CI/CD, Git workflows).
- Proficiency with automated testing (unit, integration, end-to-end) and front-end testing frameworks.
- Strong skills in HTML/CSS, responsive design, and accessibility best practices.
Responsibilities
- Develop and maintain responsive React-based front-end applications and dashboards that enable dataset discovery, access requests, and consumer workflows.
- Build, test, and deploy backend services and APIs (Python/Node/Java) that interface with DBaaS instances and dataset delivery pipelines; design RESTful and/or GraphQL endpoints as appropriate.
- Implement cloud-native solutions on AWS using managed services (Lambda, ECS/EKS, API Gateway, RDS/Aurora, S3, CloudWatch, IAM, Secrets Manager, KMS).
- Integrate authorization and access-control logic: enforce RBAC and support ABAC attributes in services; leverage centralized policy evaluation and entitlement workflows.
- Produce IaC (Terraform or CloudFormation) for application infra and CI/CD pipelines (GitLab CI/CD) for automated builds/deployments; include policy/infra tests in pipelines.
- Instrument applications with observability: logging, metrics, distributed tracing, and alerts for performance, access anomalies, and SLA adherence.
- Collaborate with Data Engineers and Data Architects to surface dataset metadata, link applications to enterprise ontologies/canonical models, and implement dataset handoffs.
Other
- Bachelors degree in Computer Science, Engineering, or equivalent experience.
- Excellent communication and collaboration skills; ability to translate stakeholder requirements into technical designs.
- Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.
- U.S. Person as defined by 22 C.F.R. 120.15 is required. U.S. Person includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
- Employer will not sponsor applicants for employment visa status.
