Senior Data Engineer - AI Platforms & Microsoft Fabric

K&L Gates LLP incorporated; United States; Hybrid; USD 128,000 - 249,000; Full time

Benefits offered by this job

Medical/Prescription Drug Coverage

401(k) Retirement Plan

Paid Time Off

Relocation

Job summary

K&L Gates is seeking a Senior Data Engineer to join our Enterprise Applications, Data, and AI Platforms group. You will design scalable Microsoft Fabric data platforms (Lakehouse/Warehouse) and establish engineering standards to support analytics and AI workloads.

You will lead data pipelines, govern data quality and security, and mentor junior engineers while collaborating with business and technology leaders in an Agile DevOps environment.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 5+ years designing enterprise data platforms using Microsoft Fabric.
• Experience with SQL and Python for data transformation.
• Knowledge of data governance and security practices.
• Willingness to travel up to 10%.

Responsibilities

• Design scalable data platforms using Microsoft Fabric, Lakehouse and Warehouse.
• Establish data engineering standards and best practices.
• Develop data pipelines with Fabric Data Factory, Dataflow Gen2, and Notebooks.
• Mentor junior data engineers through code reviews and design sessions.
• Collaborate with stakeholders in an Agile DevOps environment and support CI/CD.

Skills

Microsoft Fabric

SQL

Python

Azure DevOps

CI/CD

Data governance

Data engineering

Fabric Data Factory

Education

Bachelor’s degree in a technical field

Microsoft certifications: DP-600, DP-203, AI-900

Tools

GitHub Actions

Azure AI Foundry

Microsoft Purview

Job description

K&L Gates is seeking a Senior Data Engineer to join our Enterprise Applications, Data, and AI Platforms group. You will design scalable Microsoft Fabric data platforms (Lakehouse/Warehouse) and establish engineering standards to support analytics and AI workloads.

You will lead data pipelines, govern data quality and security, and mentor junior engineers while collaborating with business and technology leaders in an Agile DevOps environment.