Senior Data Engineer – Fabric & AI Platform

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

Benefits offered by this job

Medical/Prescription Drug Coverage

401(k) Retirement Plan

Paid Time Off (25-30 days per year)

Parental Leave (18 weeks of which 6 are paid)

Job summary

K&L Gates in Austin, Texas, is seeking an experienced Senior Data Engineer to design scalable Microsoft Fabric data platforms. You will establish engineering standards, lead data pipeline implementations, and provide mentorship to junior staff. The role focuses on technical leadership and collaboration with business stakeholders in an Agile DevOps setting.

Strong requirements include a Bachelor's degree in a technical field, 5+ years of experience in enterprise data platform design, and expertise in SQL and Python. Competitive salary ranges from $128,000 to $249,000 annually, with a comprehensive benefits package.

Qualifications

• 5+ years designing enterprise data platforms using Microsoft Fabric, including pipelines and schema design.
• Hold a Bachelor's degree or equivalent experience with certifications in data engineering.
• Experience with SQL, Python, and Azure AI Foundry.

Responsibilities

• Design scalable data platforms with Microsoft Fabric and ensure data governance.
• Lead design and implementation of data pipelines and collaborate with Agile teams.
• Provide mentorship and ensure adherence to engineering standards.

Skills

Enterprise Data Platforms Design

Collaboration with Stakeholders

Data Governance Implementation

AI Tools Utilization

Performance Optimization

Mentorship of Junior Engineers

SQL Expertise

Python for Data Automation

Education

Bachelor's Degree in a Technical Field

Tools

Microsoft Fabric

Azure DevOps

Spark

Job description

K&L Gates in Austin, Texas, is seeking an experienced Senior Data Engineer to design scalable Microsoft Fabric data platforms. You will establish engineering standards, lead data pipeline implementations, and provide mentorship to junior staff. The role focuses on technical leadership and collaboration with business stakeholders in an Agile DevOps setting.

Strong requirements include a Bachelor's degree in a technical field, 5+ years of experience in enterprise data platform design, and expertise in SQL and Python. Competitive salary ranges from $128,000 to $249,000 annually, with a comprehensive benefits package.