Who We Are

At MAS Global Consulting, we are a premium digital engineering partner trusted by innovative startups and Fortune 100 companies, delivering high-impact solutions through agile delivery, deep technical expertise, and a strong people-first culture across the Americas. We build long-term partnerships, not just software. MAS means "more" in Spanish, and that mindset drives our commitment to greater opportunity, inclusion, and impact. Founded by a Latina engineer from Medellín and headquartered in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US.

Who You Are

You are a Senior Data Engineer joining a governed data platform build on Microsoft Fabric for a US-based industrial manufacturer. The client runs on more than a dozen systems with no shared keys between them. The platform has two parts: a medallion lakehouse for analytics in Power BI, and a master data hub that keeps one golden record per key entity and syncs corrected values back to the operational systems. The first domain is Workforce: one trusted employee record across Workday HCM, payroll, Epicor ERP and the physical security system. You are the hands-on engineer who builds the platform end to end, from ingestion to the master hub and the integrations that send master updates back to each system. You work with the Data Architect, a Power BI Developer, and the client's system owners and data stewards. The role is full-time and remote from LATAM with US time-zone overlap, client-facing through MAS Global.

What You'll Do

• Build metadata-driven ingestion from Workday, payroll, Epicor and security into bronze.
• Standardize names, nicknames, suffixes, dates and codes in silver, with data quality checks.
• Implement the matching engine in PySpark: shared-ID and exact rules, probabilistic scoring such as Jaro-Winkler, and blocking. Tune it against known cases.
• Build the master hub in a Fabric SQL database: golden records, cross-reference IDs, survivorship from rules tables, and lineage.
• Build the stewardship workflow: a review queue, steward edits and a full audit trail.
• Build the sync back of create, update and deactivate events through Fabric pipelines or MuleSoft, with retries and delivery confirmation.
• Publish gold tables and data quality findings, ready for Power BI Direct Lake.
• Schedule and monitor the daily runs, and handle personal and compensation data securely.
• Work with Git and deployment pipelines, and write tests that protect the matching rules.

What You Bring

5+ years in data engineering, including 2+ 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: fuzzy matching, survivorship, golden records. API integration (REST, OAuth, files, SFTP) and 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. Power BI Direct Lake. Microsoft Purview. Profisee, Informatica MDM or Reltio. Manufacturing data. DP-700 or DP-600 certification.