Fabric Data Engineer

Scient Solutions; Atlanta (GA); On-site; USD 120,000 - 155,000; Full time

Job summary

Scient Solutions in Atlanta, GA, is seeking a Fabric Data Engineer to design, develop, and maintain ETL pipelines within the Microsoft Fabric ecosystem. You will optimize ingestion workflows and collaborate with BI/AI teams to meet analytics requirements.

The role requires hands-on Fabric experience, Spark SQL proficiency, and strong problem-solving skills. This is a full-time on-site position with competitive compensation.

Qualifications

• Mid-level professional experience in data engineering or a related field.
• Hands-on experience with Microsoft Fabric for ETL and data pipeline development.
• Strong proficiency in Spark SQL for data transformation and processing.
• Experience designing and managing data ingestion workflows.
• Solid understanding of data pipeline architecture and best practices.
• Ability to troubleshoot and optimize data processing performance.
• Strong analytical and problem-solving skills.
• Excellent communication skills for collaborating with stakeholders.

Responsibilities

• Design, build, and maintain scalable ETL pipelines using Microsoft Fabric to support enterprise data initiatives.
• Develop and optimize data ingestion workflows from multiple source systems into centralized data platforms.
• Implement Spark SQL queries and transformations to process large-scale datasets efficiently.
• Collaborate with BI and AI teams to ensure data pipelines meet analytical and reporting requirements.
• Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks.
• Optimize data storage and processing strategies within the Microsoft Fabric environment.
• Document data engineering processes, pipeline architecture, and data flow diagrams.
• Partner with stakeholders to translate business requirements into technical data solutions.

Skills

Analytical skills

Problem-solving

Communication

Tools

Microsoft Fabric

Spark SQL

Azure Synapse

Power BI

Azure Data Factory

Job description

Fabric Data Engineer

Job Summary

As a Fabric Data Engineer, you will be responsible for developing and maintaining ETL processes, managing data ingestion workflows, and building efficient pipelines within the Microsoft Fabric ecosystem. You will collaborate closely with cross-functional teams to ensure data is accurate, accessible, and optimized for analytics and business intelligence initiatives.

Key Responsibilities

• Design, build, and maintain scalable ETL pipelines using Microsoft Fabric to support enterprise data initiatives
• Develop and optimize data ingestion workflows from multiple source systems into centralized data platforms
• Implement Spark SQL queries and transformations to process large-scale datasets efficiently
• Collaborate with BI and AI teams to ensure data pipelines meet analytical and reporting requirements
• Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks
• Optimize data storage and processing strategies within the Microsoft Fabric environment
• Document data engineering processes, pipeline architecture, and data flow diagrams
• Partner with stakeholders to translate business requirements into technical data solutions

Required Qualifications

• Mid-level professional experience in data engineering or a related field
• Hands-on experience with Microsoft Fabric for ETL and data pipeline development
• Strong proficiency in Spark SQL for data transformation and processing
• Demonstrated experience designing and managing data ingestion workflows
• Solid understanding of data pipeline architecture and best practices
• Ability to troubleshoot and optimize data processing performance
• Strong analytical and problem-solving skills
• Excellent communication skills for collaborating with technical and business stakeholders

Preferred Qualifications

• Experience with additional Microsoft data platform tools (Azure Synapse, Power BI, Azure Data Factory)
• Familiarity with data governance and data quality frameworks
• Experience working in cloud-based data environments
• Knowledge of CI/CD practices for data engineering workflows
• Prior experience supporting BI and AI teams with data infrastructure

Technical Skills

• Microsoft Fabric
• ETL Development
• Spark SQL
• Data Ingestion & Pipeline Design
• Data Warehousing Concepts
• SQL & Query Optimization
• Data Modeling

Application Information

This is a full-time, on-site position based in {ADDRESS}, offering a competitive salary commensurate with experience. The company is an equal opportunity employer committed to building an inclusive workforce.