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Senior Data Engineer

Cloud, Data, and Application Experts

Remote · Anywhere USA, United States · Posted November 2, 2026

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This listing does not state pay. Across 98 open senior data engineer listings that state pay, the middle half runs $132,500 to $180,000 and the median is $157,000.

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How AI is used in this kind of work

Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).

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Skills this job asks for

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  • Python
  • Risk management
  • AWS
  • SQL
  • Azure

About the job

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

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

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.