Lead Data Engineer

Job summary

Overview: Lead Data Engineer | Build the Future of Data at GAT*** Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GAT*** Corporation (NYSE: GAT***) is an industry leader with 125+ years of success - success that is powered by our people.

Qualifications

• into scalable, high-performance data solutions;
• Mentor a small team while remaining hands-on; and
• Ensure data reliability, performance, governance, and cost optimization.
• 10+ years of IT experience, including deep expertise in data engineering & ETL;
• 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines;
• Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM, networking);
• A passion for continued learning and an interest in staying current with the rapidly evolving data and analytics space;
• Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving
• is the norm;
• Expertise in SQL, Python, data modeling, and distributed processing;
• Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.); and
• Strong communication

Responsibilities

• You will help shape enterprise analytics strategy, influence architecture, and partner directly with the business to drive smarter decisions.
• What You’ll Be Doing
• Design and lead enterprise-grade pipelines, supporting both batch and streaming data processing;
• Own the full ETL/ELT lifecycle, from design through production support;
• Drive data engineering standards, best practices, and architecture across the data ecosystem;
• Translate business

Skills

Degrees

Industry

Company size