Senior Data Engineer - Databricks, Python & Azure

Motion Recruitment; Chicago (IL); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Vacation Time

Stock Options

Job summary

Motion Recruitment in Chicago, IL is seeking a Senior Data Engineer to design and build scalable ETL/ELT pipelines. You will develop cloud-native data solutions using Databricks, Python, SQL, and Azure, partnering with business stakeholders to deliver impactful data initiatives.

You will help shape a modern data platform, improve data quality and performance, and contribute to enterprise-wide Data & AI transformation efforts in a stable, growth‑oriented environment.

Qualifications

• Experience with Databricks, Python, SQL, and building ETL/ELT pipelines.
• Experience working with Azure or cloud-native data architectures.
• Ability to influence architecture decisions, solve complex business problems, and collaborate with stakeholders.

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 development

SQL development

ETL/ELT pipelines

Cloud architectures

Production-grade data solutions

Troubleshooting

Stakeholder management

Data transformation

Large datasets

Tools

Databricks

Azure

Job description

Motion Recruitment in Chicago, IL is seeking a Senior Data Engineer to design and build scalable ETL/ELT pipelines. You will develop cloud-native data solutions using Databricks, Python, SQL, and Azure, partnering with business stakeholders to deliver impactful data initiatives.

You will help shape a modern data platform, improve data quality and performance, and contribute to enterprise-wide Data & AI transformation efforts in a stable, growth‑oriented environment.