The Boeing Company is seeking an Advanced Information Technologist – Cloud Data Engineer to join the Data Analytics Engineering & Integration team to ensure that solution datasets are discoverable, secure, performant, and reliably delivered to downstream consumers to enable analytics, operations, and program decisioning across BDS.
Requirements
- 3+ years of experience in data engineering or cloud data platform operations with hands‑on experience managing cloud managed databases/DBaaS (e.g., AWS RDS/Aurora) and delivering datasets to downstream consumers.
- Practical experience implementing Infrastructure‑as‑Code (Terraform) for DB and dataset provisioning and lifecycle management.
- Proficiency in Python and SQL for automation, operational tooling, and query optimization.
- Experience with version control and CI/CD pipelines (e.g., GitLab CI/CD) and containerization (Docker, Kubernetes).
- Demonstrated experience with backups/DR, performance tuning, capacity planning, runbooks, and production incident response for DB-backed services.
- Experience translating consumer requirements into dataset provisioning, access specifications, and SLAs (freshness, latency, availability).
- Working knowledge of access control models and enforcement (RBAC) and practical exposure to attribute‑based or policy‑driven controls (ABAC or equivalent).
Responsibilities
- Participate in all aspects of agile delivery, including design, implementation, testing, and deployment of solution‑space features and operational tooling.
- Own provisioning, configuration, scaling, tuning, patching, backup/restore, and lifecycle management of DBaaS instances that host solution data (e.g., RDS/Aurora or equivalent), including capacity planning, disaster recovery, and incident response.
- Implement and maintain dataset provisioning and delivery processes (cataloging, access controls, dataset packaging, freshness/latency SLAs) to support downstream consumers and integrations.
- Optimize consumer performance and cost‑to‑serve through data layout and query optimization (indexing, partitioning, materialized views, caching) and by advising solution owners on access/query patterns.
- Design, implement, and operationalize enterprise data ontologies and canonical models: create semantic models, map solution datasets to ontologies, enforce taxonomy/versioning, and partner with governance for discoverability and lineage.
- Design and enforce authorization models: implement RBAC for role-level permissions and ABAC for fine‑grained, attribute‑driven policies (dataset sensitivity, clearance, environment, ontology tags), integrated via a centralized policy engine.
- Build and maintain Infrastructure‑as‑Code (Terraform) and CI/CD for DB and dataset lifecycle changes; automate entitlement provisioning and deprovisioning workflows; author runbooks and participate in on‑call rotations.
Other
- This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is preferred.
- Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.
- Technical Bachelor’s degree or equivalent experience.
- The selected candidate will be required to perform 1 day per week onsite at one of the listed location options.
- Employer will not sponsor applicants for employment visa status.
