Senior Data Engineer — Azure Fabric, Delta Lake & Pipelines

Datavail Infotech; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

Datavail Infotech is seeking a senior data engineer to design, build and operate scalable data pipelines across Microsoft Fabric and Azure. You will work on batch, streaming and real-time data, implementing robust data quality and security practices.

You bring 8+ years in data engineering, deep SQL skills, PySpark, Delta Lake, and experience with Data Vault 2.0. Travel up to 15% and client-facing delivery are part of the role; familiarity with Fabric components and CI/CD pipelines is essential.

Qualifications

• 8+ years in data engineering and data warehousing.
• 3+ years delivering Azure solutions in production.
• Experience with Microsoft Fabric.

Responsibilities

• Design, build and maintain batch, incremental, real-time data pipelines across Fabric and Azure.
• Implement CDC, watermarking, merge/upsert and idempotent reprocessing patterns.
• Develop PySpark, Spark SQL and T-SQL transformations across Delta Lake layers.
• Build Fabric solutions with OneLake, Lakehouse, Data Factory and Power BI.
• Establish Git-based CI/CD with Azure DevOps or GitHub deployments.
• Apply Purview catalog/ lineage and security controls.
• Support migrations to Fabric/Azure ecosystems from SQL Server/SSIS/SSAS/Synapse.
• Lead engineering workstreams, estimates, risk management and client communication.

Skills

Data engineering

Data warehousing

Azure

Microsoft Fabric

PySpark

Spark SQL

T-SQL

Delta Lake

Data Vault 2.0

CI/CD

Git

DataOps

Governance

Security

Client-facing

Tools

GitHub

Azure DevOps

OneLake

Lakehouse

Data Factory

Dataflows Gen2

Terraform

Bicep

REST APIs

Purview

Job description

Datavail Infotech is seeking a senior data engineer to design, build and operate scalable data pipelines across Microsoft Fabric and Azure. You will work on batch, streaming and real-time data, implementing robust data quality and security practices.

You bring 8+ years in data engineering, deep SQL skills, PySpark, Delta Lake, and experience with Data Vault 2.0. Travel up to 15% and client-facing delivery are part of the role; familiarity with Fabric components and CI/CD pipelines is essential.