Senior Data Engineer - Legacy SQL Modernization & Pipelines

WME Group; Beverly Hills (CA); On-site; USD 127,500 - 170,000; Full time

Job summary

WME is seeking a Senior Data Engineer to own and modernize the legacy SQL data estate that powers its product and engineering applications. You will ensure high availability, build data pipelines, and deliver analytics-ready data for reporting and AI.

The role partners with governance and architecture to institutionalize data quality and privacy controls. The job emphasizes deep SQL Server expertise, end-to-end data ownership, and a path toward broader database responsibility within a global

Qualifications

• 7+ years in data and/or database engineering with progressive responsibility.
• Deep SQL Server administration including T-SQL, optimization, maintenance and troubleshooting.
• Experience modernizing legacy SQL environments — consolidation, upgrades, migration.
• ELT / pipeline engineering and integration from multiple sources.
• Data modeling and analytics-ready datasets; Power BI data layers are a plus.
• Foundational data governance and experience operationalizing privacy regulations (GDPR/CCPA).

Responsibilities

• Legacy SQL estate: support, stabilize, and modernize with governance and strategy.
• Data pipelines: build, modernize, and orchestrate resilient ELT processes.
• Model data and deliver analytics-ready datasets for BI and AI.
• High availability and disaster recovery planning and testing.
• Data governance, privacy, and regulatory operations at the data layer.
• Develop database ownership and runbooks, with mentorship toward broader ownership.

Skills

Deep SQL & SQL Server administration

ELT / pipeline engineering

Data modeling

Power BI data models

Data governance & privacy basics

Tools

SAP

Microsoft Purview

Power BI

Job description

WME is seeking a Senior Data Engineer to own and modernize the legacy SQL data estate that powers its product and engineering applications. You will ensure high availability, build data pipelines, and deliver analytics-ready data for reporting and AI.

The role partners with governance and architecture to institutionalize data quality and privacy controls. The job emphasizes deep SQL Server expertise, end-to-end data ownership, and a path toward broader database responsibility within a global