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
Tech Breakdown Daily 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
40% Databricks Engineering
35% Python Development & ETL Pipelines
25% SQL Development, Data Modeling & Azure
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
Posted By:
Zack Shaikh