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
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
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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