The Boeing Company is seeking an Advanced Information Technologist – Cloud Data Engineer to join the Data Analytics Engineering & Integration team 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
- Bachelor’s 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.
- This position is for 1st shift
- Employer will not sponsor applicants for employment visa status.
