Lead Data Engineer

Company:

· Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) leases transportation assets and provides critical services to customers worldwide. Our diverse portfolio of assets includes railcars, locomotives, tank containers, and aircraft spare engines.

·

Location: 100% Remote - preferably located in Chicagoland area with ability to come into Downtown office

Duration: Contract to Hire - 3-6 months

Authorization: This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.

Manager: Ankit Jain – Director, Analytics Engineering and Integration

Overview:

· Build the Future of Data at GATX! 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

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, 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 requirements 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 skills and the ability to translate complex technical concepts into solutions that deliver business outcomes.

What Sets You Apart

· You're analytical, curious, and solutions-oriented;

· You thrive in environments where you balance priorities and drive outcomes;

· You're comfortable with ambiguity and can quickly learn the business; and

· You build strong partnerships and bring a "get things done" mindset.

Interview Process:

· 30 minute technical interview with Manager

· 30 minute interview with Director

Why GATX

· 125+ years of stability with a forward-looking, innovation mindset;

· A high-performing, collaborative culture where your work matters;

· Flexibility to work remote, with access to our iconic Willis Tower headquarters; and

· Opportunities to grow and shape a modern enterprise data and AI platform.

Required Skills

Basic Qualification

Additional Skills

Background Check : No

Drug Screen : No