Cloud Engineer- Mid Level (Hybrid)

Serigor Inc.; Raleigh (NC); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Serigor Inc. in Raleigh, NC seeks a mid-level Cloud Engineer Hybrid to lead data integration across statewide programs.

You will design and implement enterprise landing zone, cloud ingestion patterns, and secure data pipelines, modernizing legacy feeds into scalable cloud-native services while adhering to state security policies. Collaborate with architects, security teams, vendors, and agency partners to ensure reliable pipelines from ingestion to delivery, and drive operational support across

Qualifications

• Experience with cloud data engineering and medallion/lakehouse architectures.
• Strong ETL design with orchestration, error handling, validation, and lineage.
• Knowledge of data quality, metadata management, and governance practices.

Responsibilities

• Lead enterprise data integration and modernize landing zone, ingestion patterns, and secure data pipelines across state programs.
• Collaborate with architects, security teams, vendors, and agency partners to ensure reliable, secure pipelines from ingestion to delivery.

Skills

Cloud data engineering and integration

ETL and pipeline development

Data quality and governance

Security and privacy alignment

Networking and cloud fundamentals

Job description

Job Title: Cloud Engineer- Mid Level (Hybrid)

Location: Raleigh, NC
Duration: 02 Months with possible extension

Job Description:

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.
• The client is responsible for delivering enterprise data and analytics capabilities that support statewide programs, agencies, and strategic initiatives. Through these capabilities, the EDO enables improved decision making, operational efficiency, and better outcomes for citizens across.

Skills:

Skill

Required/Desired

Cloud data engineering and integration, including modern lakehouse and medallion architectures

Required

5

Years

ETL and pipeline development with robust orchestration, error handling, validation, and lineage

Required

5

Years

Data quality, metadata management, and governance practices to ensure accuracy and compliance

Required

3

Years

Security and privacy alignment across frameworks such as HIPAA, CJIS, and NIST, plus DevSecOps awareness

Required

3

Years

Networking and cloud platform fundamentals, identity and access management, and distributed compute and storage in Azure, AWS, or SAS Viya

Required

3

Years