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Microsoft Fabric Data Engineer
Location
United States
Posted
1 day ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
We are looking for a skilled Microsoft Fabric Data Engineer to design, build, and optimize enterprise-scale data solutions that enable data-driven decision-making. In this role, you will:
- Develop scalable data pipelines.
- Implement Lakehouse architectures.
- Integrate diverse data sources across cloud platforms.
- Work closely with IT, analytics, and business teams to translate complex requirements into robust data solutions.
- Mentor junior engineers while delivering high-quality, reliable data services.
The environment is collaborative, fast-paced, and focused on modern data engineering practices, including automation, real-time processing, and advanced analytics. This is a remote role with milestone-based travel requirements.
Accountabilities:
- Design, build, and maintain distributed, scalable data pipelines using Microsoft Fabric and Apache Spark to process structured and unstructured data.
- Integrate data from multiple internal and external systems, ensuring consistency, reliability, and proper lineage.
- Optimize ETL/ELT workloads to improve throughput, cost efficiency, and performance of large-scale analytics environments.
- Implement and enforce data quality, metadata management, governance, and compliance standards.
- Collaborate with data scientists, analysts, architects, and business stakeholders to deliver insights and integrate analytical models.
- Document pipeline architectures, workflows, schemas, and operational processes, while troubleshooting and ensuring enterprise-grade reliability.
- Explore emerging technologies to enhance data engineering practices, including Lakehouse architecture, real-time processing, and automation.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 7+ years of experience in data engineering, data architecture, or large-scale data platform development.
- Strong expertise in Apache Spark for batch and streaming processing.
- Hands-on experience with Microsoft Fabric, Data Factory, pipelines, and Lakehouse implementations.
- Advanced proficiency in SQL, Python, and/or Scala.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Solid understanding of distributed systems, lakehouse architecture, and data modeling.
- Proven ability to design and optimize complex ETL/ELT pipelines.
- Strong communication, leadership, and mentoring skills.
Requirements
- Preferred: Certifications in Azure Data Engineering, Apache Spark, or Microsoft Fabric.
- Experience with real-time streaming technologies (Kafka, Azure Event Hubs).
- DevOps practices including CI/CD and Infrastructure as Code.
- Knowledge of Power BI or Tableau.
Benefits
- Competitive salary and performance-based incentives.
- Flexible remote work with milestone-based travel opportunities.
- Comprehensive healthcare and retirement plans.
- Opportunities for professional development and skill growth.
- Collaborative and innovative technology environment.
- Access to cutting-edge data engineering tools and cloud technologies.
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 7+ years of experience in data engineering, data architecture, or large-scale data platform development.
- Strong expertise in Apache Spark for batch and streaming processing.
- Hands-on experience with Microsoft Fabric, Data Factory, pipelines, and Lakehouse implementations.
- Advanced proficiency in SQL, Python, and/or Scala.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Solid understanding of distributed systems, lakehouse architecture, and data modeling.
- Proven ability to design and optimize complex ETL/ELT pipelines.
- Strong communication, leadership, and mentoring skills.
- Preferred: Certifications in Azure Data Engineering, Apache Spark, or Microsoft Fabric.
- Experience with real-time streaming technologies (Kafka, Azure Event Hubs).
- DevOps practices including CI/CD and Infrastructure as Code.
- Knowledge of Power BI or Tableau.
Benefits
- Competitive salary and performance-based incentives.
- Flexible remote work with milestone-based travel opportunities.
- Comprehensive healthcare and retirement plans.
- Opportunities for professional development and skill growth.
- Collaborative and innovative technology environment.
- Access to cutting-edge data engineering tools and cloud technologies.
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