SENIOR DATA ENGINEER

Implement data pipelines using best practices for ETL / ELT, data management, and data governance. Analyze and process complex data sources in a fast-paced environment. Perform data modeling against large data sets for peak efficiency. Identify, design, and implement process improvement solutions that automate manual processes and leverage standard frameworks and methodologies. Understand and incorporate data quality principles that ensure optimal reliability, impact, and user experience. Partner across teams to support cross-platform operations. Create and document functional and technical specifications. Drive exploration of new features, versions, and related technologies, and provide recommendations to enhance our offerings. Mentor junior engineers within the team.

Schedule Notes

• Support CAKS applications and data sources by designing and maintaining reliable data flows, validating data quality, troubleshooting production issues, and supporting application and data integrations.
• Address content, metadata, and ingestion issues involving CDAPI syndication clients, TopBraid, and Content Catalog.

Requirements

• Senior-level data engineering or application analysis experience
• Data integration, movement, validation, and quality practices
• Metadata and ingestion troubleshooting
• Production support and root-cause analysis
• Ability to translate business requirements into sustainable data solutions

Preferred

• CDAPI syndication, TopBraid, or Content Catalog
• Enterprise content or knowledge platforms
• Content-formatting, metadata, and ingestion troubleshooting