Lead Data Engineer

Overview: Lead Data Engineer | Build the Future of Data at GATX

Remote (Chicago-area preferred)

Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader with 125+ years of success - success that is powered by our people. We are proud of our high-performance culture, hard-working and enthusiastic management team, and beautiful office space in the Willis Tower.

Now we are investing in the next evolution of our data, analytics, and artificial intelligence ecosystem. We are looking for a Lead Data Engineer who’s ready to do more than just build pipelines on Databricks and AWS. You will help shape enterprise analytics strategy, influence architecture, and partner directly with the business to drive smarter decisions.

Why This Role?

This is a high-impact, highly visible role where you’ll:

• Lead the design and implementation of a modern AWS + Databricks Lakehouse platform;
• Partner across IT, analytics, and business teams to turn data into decisions;
• Drive scalable, governed, high-performance data solutions; and
• Influence how data powers analytics, reporting, and AI across the company

Responsibilities: 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 requirements into scalable, high-performance data solutions;
• Mentor a small team while remaining hands-on; and
• Ensure data reliability, performance, governance, and cost optimization.

Qualifications: * 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,