Hybrid Cloud Data Engineer: Lakehouse & ETL Lead

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

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.