Senior Data Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Datavail

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Datavail is a comprehensive IT solutions provider specializing in analytics, application development, database administration, and cloud services. Their offerings span advanced analytics consulting, cloud migration and management, and application modernization, ensuring clients can leverage their data for competitive advantage. Datavail focuses on delivering tailored solutions to enhance data management and operational efficiency across various sectors.

📋 Description

• Design, build and maintain production-grade batch, incremental, real-time and near-real-time data pipelines across Microsoft Fabric and Azure • Implement CDC, watermarking, merge/upsert, late-arriving-data and idempotent reprocessing patterns • Develop PySpark, Spark SQL and T-SQL transformations across bronze, silver and gold Delta Lake layers • Build Fabric solutions using OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark notebooks, Real-Time Intelligence and Power BI • Implement dimensional and Data Vault models, data-quality testing, reconciliation, observability, logging, alerting and SLA monitoring • Establish Git-based CI/CD and automated deployment using Azure DevOps or GitHub, Fabric deployment pipelines, REST APIs, Bicep and Terraform • Apply Purview catalog/lineage, least-privilege access, sensitivity controls, encryption and secure connectivity • Support migrations from SQL Server, SSIS, SSAS, legacy warehouses and Synapse to Fabric/Azure, including conversion, reconciliation and cutover • Prepare governed data for AI/ML and RAG workloads, including ingestion, chunking, embeddings, indexing and telemetry • Lead engineering workstreams, estimates, risk management, client communication, mentoring, reusable accelerators and operational handover

🎯 Requirements

• 8+ years in data engineering/data warehousing • 3+ years delivering Azure solutions and production • Microsoft Fabric experience • Advanced T-SQL, Spark SQL, Python/PySpark; working knowledge of KQL and DAX • Deep experience with Delta Lake, Spark tuning, medallion/lakehouse patterns, CDC and incremental loading • Strong dimensional modeling and working knowledge of Data Vault 2.0 • Practical CI/CD, Git, automated testing, infrastructure as code, DataOps, governance and security experience • Professional-services/client-facing delivery experience • Authorization to work in the US and ability to travel up to 15% • Preferred: DP-700, DP-600, DP-203; streaming/event-driven, RAG/GenAI, Fabric IQ/data agents, and industry experience

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