Cloud Engineer- Mid Level

Info Origin Inc.; Raleigh (NC); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Info Origin Inc. seeks a Cloud Data Engineer to lead enterprise data integration across statewide programs.

You will design, implement, and modernize cloud ingestion, security pipelines, and data warehousing with medallion architectures to enable governed analytics and compliant pipelines. The role requires 5+ years in cloud data engineering, ETL development, and governance, with collaboration across architects, security teams, vendors, and agency partners.

Qualifications

• 5+ years in cloud data engineering and integration.
• ETL and pipeline development with robust orchestration, error handling, validation, and lineage.
• Data quality, metadata management, and governance practices to ensure accuracy and compliance.
• Security and privacy alignment across HIPAA, CJIS, and NIST, plus DevSecOps awareness.
• Networking and cloud platform fundamentals, IAM, and distributed compute/storage in Azure/AWS/SAS Viya.

Responsibilities

• Serve as technical and strategic lead for enterprise data integration across statewide programs.
• Design, implement, and modernize the enterprise landing zone, cloud ingestion patterns, and secure pipelines.
• Collaborate with architects, security, vendors, and agency partners to ensure reliable, secure pipelines.
• Build and maintain cloud-based data warehouse capabilities and medallion structures for analytics-ready transformations.
• Evaluate emerging tools and AI-assisted development to improve reliability and readiness for future capabilities.

Skills

Cloud data engineering

ETL pipelines

Data governance

Security & DevSecOps

Networking & IAM

Job description

Position Overview

Job Type
Contract
Category
IT
Req ID
7536
Country
USA
Interview Type
Video or In Person
Duration
Long Term
Work Preference
Hybrid
Work Location
Raleigh, NC

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 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

Required Skills

Cloud data engineering and integration, including modern lake house and medallion architectures Required 5 YearsETL and pipeline development with robust orchestration, error handling, validation, and lineage Required 5 YearsData quality, metadata management, and governance practices to ensure accuracy and compliance Required 3 YearsSecurity and privacy alignment across frameworks such as HIPAA, CJIS, and NIST, plus DevSecOps awareness Required 3 YearsNetworking and cloud platform fundamentals, identity and access management, and distributed compute and storage in Azure, AWS, or SAS Viya Required 3 Years