Applied Data Engineer

Job summary

Mid*** is seeking a mid-level Data Engineer specializing in Microsoft Fabric and Azure to design, build, and support scalable data pipelines and curated data assets for analytics, reporting, and enterprise decision-making.

Qualifications

• and translate them into engineered solutions.
• Troubleshoot data quality, pipeline, schema, and process issues across the data lifecycle.
• Implement and support data security, access controls, and governance
• across the Azure and Fabric environment.
• Monitor pipeline execution, investigate failures, and drive continuous improvement in performance and supportability
• Document architecture, data flows, lineage, operational procedures, and engineering standards
• Estimate work effort, track progress, and communicate status clearly with teammates and stakeholders.
• Required
• Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.
• 3+ years of experience in data engineering, ETL/ELT development, or cloud data platform engineering.
• 3+ years of experience with Microsoft Azure data services such as Azure Data Lake, Synapse, Logic Apps, and Integration Runtime services, or closely related platform capabilities.
• Hands-on experience building solutions in Microsoft Fabric, including one or more of the following: Data Factory, Lakehouse, Warehouse, OneLake, notebooks, or semantic models

Responsibilities

• Design, build, and maintain batch and near-real-time data pipelines using Microsoft Fabric and Azure data services
• Ingest data from internal and external source systems into secure, governed enterprise storage and analytics platforms
• Transform raw data into curated tables, views, semantic structures, and reusable data products for reporting and analytics teams.
• Develop and optimize ELT/ETL workflows for reliability, scalability, observability, and cost efficiency.
• Create custom data extracts and support downstream modeling, analytics, and reporting use cases.
• Partner with business and technical stakeholders to understand data needs, define ingestion

Skills

Degrees

Industry

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