Azure Data Engineer (Microsoft Fabric)

Teamaberdeen; United States; Remote; USD 100,000; Full time

Job summary

A leading company seeks a Mid-Senior Level Azure Data Engineer to architect and maintain data solutions across a cloud-first stack. The role involves building operational data pipelines, enabling analytics, and enforcing security protocols in a high-performance, remote environment.

Qualifications

• 5+ years of data engineering experience.
• Proficient in Python, PySpark, SQL.
• Experience with Azure and cloud-native architectures.

Responsibilities

• Build and maintain scalable data pipelines.
• Develop semantic models for analytics.
• Ensure data security and performance.

Skills

Data Engineering

Python

PySpark

SQL

Microsoft Fabric

Azure DevOps

Data Security

Tools

Microsoft Fabric

GitHub

Job description

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Direct message the job poster from Aberdeen Advisors LLC

Senior Staffing Manager @ Aberdeen Advisors | Staffing and Recruitment

Location: Remote (CST hours)

Reports to: Manager of Clinician Applications Team

Job Summary:

We’re on the lookout for a highly skilled Azure Data Engineer with hands-on Microsoft Fabric experience to build, scale, and optimize cloud-first data solutions across a modern enterprise stack. This role will architect and maintain robust data pipelines, enable large-scale analytics through semantic modeling, and ensure data governance, performance, and business alignment throughout. Must be comfortable working remotely on Central Time (CST) hours and delivering results in a high-performance environment.

Key Responsibilities:

• Build and maintain scalable, resilient data pipelines using Microsoft Fabric’s toolsets (Lakehouses, Dataflows Gen2)
• Ingest, unify, and transform data from diverse sources: on-prem SQL Server, Oracle Cloud, Azure Cosmos DB, APIs, etc
• Leverage Notebooks (PySpark or SQL) for data transformation, exploration, and ETL processes

Analytics Enablement & Semantic Modeling

• Develop semantic models using Direct Lake query mode for low-latency, high-performance analytics
• Optimize data structures for performance and business usability across Direct Lake and SQL
• Collaborate with BI developers to ensure alignment between semantic models and reporting layers

Security, Monitoring & DevOps

• Configure and enforce Row-Level Security (RLS), Column-Level Security (CLS), and Object-Level Security (OLS)
• Monitor pipeline and platform performance using Fabric’s built-in tools; proactively address bottlenecks
• Take part in source control and deployment workflows using GitHub and Azure DevOps

Cross-Functional Collaboration

• Partner with business architects, data architects, and analysts to translate business requirements into data engineering solutions
• Ensure completeness, accuracy, and reliability of analytics platforms across the org

What Success Looks Like:

• Unified data pipelines are operational, performant, and fully automated across the enterprise
• Business teams are empowered with fast, secure access to data via optimized Direct Lake models
• Fabric environments are monitored, governed, and continuously improved to ensure performance and security
• Engineering delivery cycles are fast, version-controlled, and production-ready with minimal tech debt

Qualifications:

• 5+ years of data engineering experience across enterprise-scale data platforms
• 5+ years of experience with Azure-based analytics stack and cloud-native architectures
• Proficient in Python, PySpark, SQL, and Microsoft Fabric tools (Lakehouse, Dataflows Gen2, Notebooks)
• Experience integrating and transforming data across PostgreSQL, Azure SQL, Oracle Cloud, and Cosmos DB
• Hands-on experience with GitHub and Azure DevOps for version control and CI/CD
• Strong understanding of security enforcement using RLS, CLS, and OLS

Preferred Certifications:

• Microsoft Fabric Analytics Engineer Associate
• Detail-oriented problem solver who thrives in data-driven environments
• Comfortable working remotely and leading delivery across CST business hours
• Strong communicator and collaborator, able to bridge technical and business teams
• Forward-thinking, capable of optimizing systems while laying the foundation for future scalability

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology, Consulting, and Engineering

• Industries

  Business Consulting and Services, IT Services and IT Consulting, and Hospitals and Health Care

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