
51 - 200 employees
Founded 2013
đź Consulting
đĽ Healthcare
đĄď¸ Insurance
Consulting ⢠Healthcare ⢠Insurance
MAS Global Consulting is a digital engineering and AI acceleration firm that helps enterprises envision, build, and launch AI-powered products, platforms, and modernized systems. They focus on data engineering, applied/agentic AI, and mission-critical digital modernization, delivering outcomes quickly using proprietary accelerators, nearshore USâLATAM teams, and a boutique, engineering-led approach. MAS serves Fortune 500 and enterprise clients across manufacturing, financial services/ banking/insurance, and healthcare, and emphasizes social impact through workforce development initiatives.
đ October 22
đ¨đ´ Colombia â Remote
đľ $156M - $180M / year
â° Full Time
đ Senior
đ° Data Engineer
đť Ghost score 0%
Where this job comes from
Posted on MAS Global Consulting's careers page, not through a job board
First seen by Remote Rocketship October 22

51 - 200 employees
Founded 2013
đź Consulting
đĽ Healthcare
đĄď¸ Insurance
Consulting ⢠Healthcare ⢠Insurance
MAS Global Consulting is a digital engineering and AI acceleration firm that helps enterprises envision, build, and launch AI-powered products, platforms, and modernized systems. They focus on data engineering, applied/agentic AI, and mission-critical digital modernization, delivering outcomes quickly using proprietary accelerators, nearshore USâLATAM teams, and a boutique, engineering-led approach. MAS serves Fortune 500 and enterprise clients across manufacturing, financial services/ banking/insurance, and healthcare, and emphasizes social impact through workforce development initiatives.
⢠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
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