Python & JS Developer / Chicago / Remote

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

Located in Chicago, IL, this full-time opportunity is with a highly respected 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.

What makes this opportunity stand out is the chance to help shape the future of a brand-new enterprise data ecosystem. This team is making significant investments in modern data infrastructure and looking for an engineer who wants more than just pipeline development. They're seeking someone who can influence architecture decisions, solve complex business problems, and collaborate with stakeholders across the organization. You'll gain exposure to high-impact projects, emerging AI initiatives, and long-term career growth while working in a stable, well-established environment that values innovation and work-life balance.

Required Skills & Experience

• Strong hands-on experience with Databricks
• Advanced Python development skills
• Strong SQL skills with experience writing scalable, optimized queries
• Experience building and maintaining ETL/ELT pipelines
• Experience working with cloud-based data architectures, preferably Azure
• Experience developing production-grade data solutions
• Strong troubleshooting and problem-solving abilities
• Excellent communication and stakeholder management skills
• Experience working with large datasets and data transformation processes

Desired Skills & Experience

• Azure cloud experience
• Data modeling experience
• Experience supporting enterprise-scale data modernization initiatives
• Exposure to AI, analytics, or machine learning platforms
• Experience improving data quality, performance, and governance
• Familiarity with modern data engineering best practices

What You Will Be Doing

• 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

Tech Breakdown

• 40% Databricks Engineering
• 35% Python Development & ETL Pipelines
• 25% SQL Development, Data Modeling & Azure

Daily Responsibilities

• 80% Hands-On Development
• 5% Architecture & Design Discussions
• 15% Team Collaboration & Stakeholder Engagement

You will receive the following benefits

• Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future

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