Lead Data Engineer
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Lead Data Engineer | No Sponsorship Available
Job Details – Lead Data Engineer
Compensation: $180,000 - $220,000
Location: Chicago, IL
Work Environment: Hybrid
Benefits: Health, Dental, Vision, 401K, PTO
Overview – Lead Data Engineer
The Lead Data Engineer will play a key role in the design, development, and optimization of a modern cloud-based data platform. This position combines hands-on engineering with technical leadership, focusing on scalable data solutions, AI-enabled applications, and cloud technologies. The ideal candidate will bring strong Python expertise, extensive data engineering experience, and the ability to lead technical initiatives while mentoring team members.
Key Responsibilities – Lead Data Engineer
- Design, develop, and maintain scalable data pipelines, integrations, and data services.
- Lead the architecture and implementation of cloud-based data platforms and modern data solutions.
- Develop and support AI-driven and data-intensive applications.
- Partner with business and technical stakeholders to translate requirements into scalable solutions.
- Improve platform performance, reliability, security, and scalability.
- Establish engineering best practices, development standards, and technical governance.
- Mentor and guide engineers while providing leadership on complex technical initiatives.
- Drive projects through the full lifecycle from design and development to deployment and ongoing support.
Qualifications – Lead Data Engineer
- Bachelor’s or Master’s Degree in Computer Science, Engineering, Information Systems, or
- related field.
- 10+ years of data engineering experience required.
- Strong hands-on Python development experience.
- Experience building and supporting enterprise-scale data pipelines and architecture.
- Cloud platform experience, preferably AWS.
- Exposure to AI, machine learning, LLMs, or AI-enabled solutions.
- Strong SQL, data modeling, and databas