Cloud Engineer

Info Origin Inc; North Carolina; On-site; USD 110,000 - 117,000; Full time

Job summary

Info Origin Inc. is seeking a Cloud Data Engineer to lead enterprise data integration and cloud-native pipelines across statewide programs. You will design and modernize the data lake and medallion architectures while ensuring security, governance, and compliance.

You will collaborate with architects, security teams, vendors, and agency partners to ensure reliable ingestion, transformation, and delivery, enabling analytics-ready data for citizen-focused outcomes.

Qualifications

• Cloud data engineering, with modern lake house patterns and data vault/medallion concepts.
• ETL pipelines with robust orchestration, error handling, and lineage tracking.
• Data quality and metadata governance to ensure accuracy and compliance.
• Security and privacy alignment across HIPAA, CJIS, and NIST; DevSecOps awareness.
• Experience with Azure, AWS or SAS Viya platforms; networking and IAM fundamentals.

Responsibilities

• Lead enterprise data integration across statewide programs and agencies.
• Design, implement, and modernize cloud data pipelines and data warehouses.
• Collaborate with architects, security, vendors, and partners to ensure reliable data delivery.
• Advance cloud-based analytics capabilities and governance alignment.
• Explore emerging tools and AI-assisted development for reliability and efficiency.
• Deliver enterprise data and analytics capabilities to support statewide initiatives.

Skills

Cloud data engineering

ETL pipelines

Data governance

Security & privacy

Cloud platforms (Azure/AWS)

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

NC, US

2 days ago Requisition ID: 2117

Salary Range: $80.00 To $85.00 Hourly

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 North Carolina.

Skills Required:

• Cloud data engineering and integration, including modern lake house and medallion architecturesRequired5Years
• ETL and pipeline development with robust orchestration, error handling, validation, and lineageRequired5Years
• Data quality, metadata management, and governance practices to ensure accuracy and complianceRequired3Years
• Security and privacy alignment across frameworks such as HIPAA, CJIS, and NIST, plus DevSecOps awarenessRequired3Years
• Networking and cloud platform fundamentals, identity and access management, and distributed compute and storage in Azure, AWS, or SAS ViyaRequired3Years

Required Skills

Cloud data engineering and integration, including modern lake house 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