Senior Data Engineer: Databricks, Python & Azure (Chicago)

Kelly Services; Chicago (IL); Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Stock Options

Vacation Time

Job summary

Kelly Services in Chicago, IL, is seeking a Senior Data Engineer to join a global professional services organization undergoing a large-scale Data & AI transformation. The team is building a modern, cloud-native data platform using Databricks, Python, SQL, and Azure to drive enterprise-wide analytics, reporting, and AI initiatives.

This is a great opportunity for a Senior Data Engineer who enjoys building scalable data solutions and working with cutting-edge cloud technologies.

Qualifications

• Experience with Databricks and cloud-native data architectures.
• Strong Python development skills and scalable SQL writing.
• Experience building and maintaining ETL/ELT pipelines.
• Experience with cloud-based data architectures, preferably Azure.
• Proven ability to develop production-grade data solutions and troubleshoot complex data issues.
• Excellent communication and stakeholder management skills.
• Experience working with large datasets and data transformation processes.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop cloud-native data solutions using Databricks, Python, SQL, and Azure.
• Partner with business stakeholders to deliver impactful data initiatives.
• Improve data quality, reliability, and performance across the platform.
• Support enterprise-wide Data & AI transformation efforts.
• Contribute to technical architecture and modernization initiatives.
• Build scalable solutions that support analytics and reporting needs.

Skills

Databricks

Python

SQL

ETL/ELT pipelines

Azure cloud

Production-grade data solutions

Troubleshooting

Communication

Stakeholder management

Large datasets

Job description

Kelly Services in Chicago, IL, is seeking a Senior Data Engineer to join a global professional services organization undergoing a large-scale Data & AI transformation. The team is building a modern, cloud-native data platform using Databricks, Python, SQL, and Azure to drive enterprise-wide analytics, reporting, and AI initiatives.

This is a great opportunity for a Senior Data Engineer who enjoys building scalable data solutions and working with cutting-edge cloud technologies.