NCDIT - Cloud Engineer- Mid Level

BuzzClan; Raleigh (NC); Hybrid; USD 110,000 - 170,000; Full time

Job summary

BuzzClan in Raleigh, NC is seeking a Cloud Engineer to serve as the technical and strategic lead for enterprise data integration across statewide programs and agencies. You will design, implement, and modernize the enterprise landing zone, cloud ingestion patterns, and secure data pipelines.

The role involves collaboration with architects, security teams, vendors, and agency partners to ensure reliable, secure pipelines and governance-aligned data warehousing with medallion structures.

Qualifications

• Cloud data engineering and integration with modern lakehouse and medallion architectures
• ETL and pipeline development with orchestration, error handling, validation, and lineage
• Data quality, metadata management, and governance for accuracy and compliance
• Security and privacy alignment across HIPAA, CJIS, and NIST; DevSecOps awareness
• Networking fundamentals, IAM, and distributed compute/storage in Azure, AWS, or SAS Viya

Responsibilities

• Lead enterprise data integration across statewide programs and agencies
• Design, implement, and modernize the enterprise landing zone, cloud ingestion patterns, and secure data pipelines
• Collaborate with architects, security teams, vendors, and agency partners to ensure reliable, secure pipelines
• Advance governance, metadata, and modeling; act as ETL subject matter expert
• Build and maintain cloud-based data warehouse capabilities with medallion architectures

Skills

Cloud data engineering

ETL and pipeline development

Data quality

Security & privacy

Networking fundamentals

Identity and access management

Distributed compute & storage

Job description

Typical Experience: 36-60 months

*This is a hybrid position where the candidate will be expected on site once a week.

This role serves as the technical and strategic lead for enterprise data integration across statewide programs and agencies. The Cloud Engineer designs, implements, and modernizes the enterprise landing zone, cloud ingestion patterns, and secure data pipelines, re engineering legacy feeds such as SFTP, Azure Blob, and batch pathways into scalable, automated, cloud native services aligned with state security policies and compliance requirements. The position collaborates with architects, security teams, vendors, and agency partners to ensure reliable, secure, standardized pipelines from ingestion through transformation and delivery, and it drives operational support across the full lifecycle.

Beyond integration, the role builds and maintains cloud based data warehouse capabilities, including medallion structures (Bronze, Silver, Gold), to enable governed, analytics ready transformations. It defines storage and partitioning conventions for performance and traceability, promotes governance alignment and privacy controls across frameworks such as HIPAA, CJIS, and NIST, and serves as the division s ETL subject matter expert on metadata, lineage, and modeling. The engineer also advances innovation by evaluating emerging tools and AI assisted development to improve reliability, efficiency, and readiness for future capabilities.

Required/Desired Skills

SkillRequired /DesiredAmountof ExperienceCloud data engineering and integration, including modern lakehouse and medallion architecturesRequired5YearsETL and pipeline development with robust orchestration, error handling, validation, and lineageRequired5YearsData quality, metadata management, and governance practices to ensure accuracy and complianceRequired3YearsSecurity and privacy alignment across frameworks such as HIPAA, CJIS, and NIST, plus DevSecOps awarenessRequired3YearsNetworking and cloud platform fundamentals, identity and access management, and distributed compute and storage in Azure, AWS, or SAS ViyaRequired3Years

Questions

Question1Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement?Question2This is a hybrid position where the candidate will be expected to be onsite at least one day a week. Do you agree to this requirement?Question3What is your candidate's email address?Question4How soon can your candidate start if selected for this opportunity?Question5Vendors are encouraged to submit candidates that are available for the duration of the assignment. Do you anticipate your candidate being able to work until the proposed end date listed on this VectorVMS req?Question6Vendors must disclose to the agency if the candidate will be subcontracted at the time of submission. Is your candidate an employee of your company or a subcontractor? Please be sure to notify a CAI Account Manager if your candidate's employee status changes.Question7Vendors must notify the agency if any portion of the requirements listed in this task order will be outsourced to other countries. Do you anticipate outsourcing any work being done for this assignment to another country?Question8Candidates submitted above the hourly Vendor Rate of - may not be considered for this assignment. Do you agree to this requirement?Question9Payment for all approved hours will be paid at the straight hourly rate regardless of the total hours worked by the engaged resource. It is the responsibility of the Vendor to adhere to any applicable compensation laws including payment for overtime hours. Do you agree to this requirement?Question10Have you thoroughly validated, and attest to the accuracy of, the credentials listed throughout your candidate s VectorVMS profile and resume pursuant to Section 5.2.5 of ITS-009440?