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# Lead Data Engineer

- **Company:** zuven Technologies
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $103,200.0 - $141,900.0
- **Contract:** Temporary to permanent
- **Skills:** Unity 3d, Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Data Architecture, Information Engineering, Data Integrity, Extract Transform Load (ETL), Dataspaces, Data Systems, DevOps, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), SQL Databases, Data Streaming, Apache Spark, Data Lakes, Information Technology, Data Pipelines, Databricks
- **Published:** September 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us927deff90325eb2924827d71ec64b0a0

## About the Role

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.

## Description

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.


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