Senior Data Engineer

• Build metadata-driven ingestion from Workday, payroll, Epicor and security systems into bronze
• Standardize names, nicknames, suffixes, dates and codes in silver, with data quality checks
• Implement and tune a PySpark matching engine using shared-ID and exact rules, probabilistic scoring such as Jaro-Winkler, and blocking
• Build the master hub in a Fabric SQL database with golden records, cross-reference IDs, survivorship rules and lineage
• Build a stewardship workflow with a review queue, steward edits and a full audit trail
• Sync create, update and deactivate events back through Fabric pipelines or MuleSoft, including retries and delivery confirmation
• Publish gold tables and data quality findings for Power BI Direct Lake
• Schedule and monitor daily runs and handle personal and compensation data securely
• Work with Git and deployment pipelines and write tests protecting matching rules
• Collaborate with the Data Architect, Power BI Developer, client system owners and data stewards

• 5+ years in data engineering, including 2+ years on the Microsoft data stack
• Hands-on Microsoft Fabric experience, or deep Synapse or Databricks on Azure plus active Fabric adoption
• Built a medallion architecture in production
• Strong PySpark, Spark SQL and T-SQL
• Entity resolution or MDM experience, including fuzzy matching, survivorship and golden records
• API integration experience with REST, OAuth, files and SFTP, plus write-back to operational systems
• Hands-on MuleSoft experience building integrations
• Git and CI/CD for data workloads
• English B2+
• Nice to have: Workday, payroll or Epicor data extraction
• Nice to have: Power BI Direct Lake
• Nice to have: Microsoft Purview
• Nice to have: Profisee, Informatica MDM or Reltio
• Nice to have: Manufacturing data
• Nice to have: DP-700 or DP-600 certification

• Full-time remote work from LATAM with US time-zone overlap
• Client-facing work through MAS Global
• Opportunity to work with a governed Microsoft Fabric data platform
• Collaboration with a Data Architect, Power BI Developer, system owners and data stewards