Senior Data Engineer

Job not on LinkedIn

🕒 October 22

🇨🇴 Colombia – Remote

💵 $156M - $180M / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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MAS Global Consulting

WebsiteLinkedInAll Job Openings

201 - 500 employees

☁️ SaaS

💼 Consulting

SaaS • Consulting • Technology

MAS Global Consulting is a consulting firm specializing in agile software development, cloud solutions, data solutions, and AI technologies. The company provides services such as legacy modernization, data visualization, and cloud migration to midsize to Fortune 1000 global brands. They are known for their nearshore development model, which offers clients strategic advantages such as matched time zones and flexible scaling. As a Latina-owned business, MAS Global is committed to innovation, inclusion, and community impact through initiatives like scholarships and bootcamps for women and Latinx in technology. With high-caliber engineering and advisory teams, they focus on delivering technology transformations that meet clients' evolving needs.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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