Lead Data Engineer

zuven Technologies
Chicago, IL, United States
1 day ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$103,200.0 - $141,900.0
Working hours
Regular working hours

Tech stack

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
+11 more
DevOps Distributed Computing Environment Identity and Access Management Python (Programming Language) SQL Databases Data Streaming Apache Spark Data Lakes Information Technology Data Pipelines Databricks

Job 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.

Requirements

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.

About the 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. We are 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. Location: 100% Remote - preferably located in Chicagoland area with ability to come into Downtown office Duration: Contract to Hire - 3-6 months, + Chicago, IL

  • $103,200-141,900 per year Who We Are: We’re powering a cleaner, brighter future. Exelon is leading the energy transformation, and we’re calling all problem solvers, innovators, community builders and chan…

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