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Abstra logo

Senior Microsoft Fabric Data Engineer

Abstra
Posted May 28, 2026, 3:32 AM UTC
🌍Latin America🏠Remote📁Data & Analytics
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Job Description Our client is seeking a Senior Microsoft Data Engineer to design and deliver modern data platform solutions for their Microsoft engineering projects. The right candidate is a hands-on technical leader with deep expertise in cloud data architecture, lakehouse platforms, and scalable data pipelines. This person thrives as a problem solver, mentor, and team player with the ability to operate independently, translate architecture into production-ready solutions, and contribute to a growing consultancy with a path toward partnership. Location: Only LATAM - 100% Remote. Working hours are based on the US Central–Eastern Time Zone . About Us Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency. Role Experience and Soft Skills 10+ years of consulting experience delivering data and analytics solutions Proven experience with Microsoft Fabric, Databricks, or similar platforms Ability to work through ambiguity and independently deliver scalable solutions Full lifecycle experience (architecture, build, deployment, support) in Agile/CI-CD environments Strong analytical thinking, problem-solving, and stakeholder communication skills Experience working across data science, analytics, and business teams Ability to support both reporting and advanced analytics use cases Self-directed, entrepreneurial mindset with strong ownership Commitment to documentation and creation of reusable patterns Required Technical Experience Microsoft Fabric, Azure Databricks, or equivalent lakehouse platforms Spark-based processing (PySpark / Spark SQL) Cloud data pipelines (Fabric Pipelines, ADF, or similar tools) Azure ML pipelines or integration with ML workflows Python or R, plus strong SQL expertise Lakehouse design (medallion architecture, performance optimization) Power BI and reporting enablement CI/CD, deployment automation, and DevOps practices Data governance, security, and quality frameworks Monitoring and support of production data systems Preferred Certifications: Fabric Analytics Engineer Associate (DP-600) Fabric Data Engineer Associate (DP-700) Azure Data Engineer Associate (DP-203) Databricks or Spark certifications Responsibilities Design and deliver scalable data platforms, pipelines, and lakehouse solutions Translate architecture into production-ready implementations independently Enable data science and reporting teams with high-quality, reliable data Implement automation, CI/CD, and governance best practices Monitor, troubleshoot, and optimize production environments Lead requirements gathering and managing delivery end-to-end Build strong client relationships and contribute to growth Support sales efforts and help define reusable delivery patterns Our Client Perks Permanent, long-term role with strong ownership and accountability expectations Quarterly bonus for utilization and sales contribution, annual compensation review Remote-first culture supporting flexibility and work-life balance Structured career progression with mentorship and clear development pathways

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