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Senior Data Engineer

Harnham — United States · Posted ~16 hours ago

Senior Hybrid $110000-$150000 base salary plus benefits

Skills

Data engineering Enterprise data modeling Conceptual data modeling Logical data modeling Physical data modeling Dimensional modeling Data quality analysis Analytics and reporting Data modeling standards Stakeholder collaboration Enterprise data models

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Summary ✨ AI‑Generated

A large enterprise is seeking a senior data engineer to modernize its data platform and build a curated enterprise data layer. The role combines hands-on engineering with conceptual, logical, physical, and dimensional data modeling, data quality analysis, and collaboration across business and technical teams. The position is hybrid in a major US city and requires at least six years of relevant experience.

Highlights

Competitive base salary of $110,000–$150,000 plus benefits, with an opportunity to modernize an enterprise data platform, establish modeling standards, work hands-on across data architecture and implementation, and mentor colleagues.

Description

SENIOR DATA ENGINEER - ENTERPRISE DATA MODELING HYBRID IN PHOENIX, AZ $110,000 - $150,000 BASE + BENEFITS The Opportunity We're partnering with a large enterprise organization modernizing its data platform and looking for a Senior Data Engineer with strong data modeling and engineering expertise. You'll help build the curated enterprise data layer, designing scalable data models that support analytics, reporting, and business operations while remaining hands-on with implementation. What You'll Do Design and build conceptual, logical, and physical data modelsDevelop enterprise data models used across multiple teams and business functionsAnalyze source data and assess data qualityBuild dimensional models (facts & dimensions) for analytics and reportingEstablish data modeling standards and best practicesPartner with engineers, architects, analysts, and business stakeholdersMentor team members on modeling and engineering practices What We're Looking For 6+ years of Data Engineering or Data Warehousing experienceStrong experience with enterprise data modelingAdvanced SQL and hands-on data engineering skillsDimensional modeling and analytics platform experienceExperience with data modeling tools (sqlDBM, ER/Studio, Erwin, etc.)Ability to translate business requirements into scalable data solutions Nice to Have dbtMedallion Architecture (Bronze/Silver/Gold)Data VaultAWS or cloud data platformsInformaticaData governance and catalog tools Why Join? Build foundational enterprise data models used across the organizationPlay a key role in a major data modernization initiativeBalanced role: ~50% Data Engineering / 50% Data ModelingOpportunity to become the team's go-to data modeling expertStrong growth potential, competitive compensation, bonus, and benefits