Senior Data Engineer – Fabric & AI Platform

K&L Gates; Chicago (IL); Hybrid; USD 128,000 - 249,000; Full time

Benefits offered by this job

Medical/Prescription Drug Coverage

401(k) Retirement Plan

Short- and Long-term Disability Protection

Paid Time Off (25-30 days per year)

Hybrid/Remote Work Opportunities

Job summary

K&L Gates is seeking a Senior Data Engineer to design scalable Microsoft Fabric data platforms. This role involves establishing engineering standards, leading the design and optimization of data pipelines, and mentoring junior engineers. Candidates should possess a bachelor's degree in a technical field and have experience with data governance and Microsoft Fabric. Benefits include medical coverage, 401(k), and remote work opportunities.

The selected candidate will also collaborate with business stakeholders and be part of an Agile DevOps model.

Qualifications

• Hold Bachelor's degree in a technical field; equivalent experience accepted.
• 5+ years designing enterprise data platforms using Microsoft Fabric.
• Experience with Azure AI Foundry pipelines and event-driven architecture.

Responsibilities

• Design scalable and resilient data platforms with Microsoft Fabric.
• Establish and maintain data engineering standards.
• Provide mentorship and guidance to junior data engineers.

Skills

Microsoft Fabric

SQL

Python

Data Governance

Data Architecture

Education

Bachelor's degree in a technical field

Tools

Azure DevOps

GitHub Actions

Job description

K&L Gates is seeking a Senior Data Engineer to design scalable Microsoft Fabric data platforms. This role involves establishing engineering standards, leading the design and optimization of data pipelines, and mentoring junior engineers. Candidates should possess a bachelor's degree in a technical field and have experience with data governance and Microsoft Fabric. Benefits include medical coverage, 401(k), and remote work opportunities.

The selected candidate will also collaborate with business stakeholders and be part of an Agile DevOps model.