数据工程师负责人
Lead Data Engineer
职位描述
高级数据工程师 | 在GATX打造数据的未来
远程办公（优先芝加哥地区）
成立于1898年，总部位于伊利诺伊州芝加哥的GATX公司（纽约证券交易所代码：GATX）是行业领导者，拥有125多年的成功历史——这些成功由我们的员工推动。我们自豪于高绩效文化、勤奋且充满热情的管理团队，以及在威利斯大厦的美丽办公空间。
我们现在正在投资数据、分析和人工智能生态系统的下一次进化。我们正在寻找一位高级数据工程师，他不仅能在Databricks和AWS上构建管道。您将帮助塑造企业分析战略，影响架构，并直接与业务部门合作，推动更明智的决策。
为什么选择这个职位？这是一个高影响力、高度可见的职位，您将：
· 领导设计和实现现代的AWS + Databricks Lakehouse平台；
· 与IT、分析和业务团队合作，将数据转化为决策；
· 推动可扩展、受控、高性能的数据解决方案；以及
· 影响数据如何在整个公司中推动分析、报告和AI
职责
您将从事的工作
· 设计并领导企业级管道，支持批处理和流数据处理；
· 负责整个ETL/ELT生命周期，从设计到生产支持；
· 推动数据生态系统中的数据工程标准、最佳实践和架构；
· 将业务需求转化为可扩展、高性能的数据解决方案；
· 指导一个小团队的同时保持亲力亲为；以及
· 确保数据的可靠性、性能、治理和成本优化。
要求
· 10年以上IT经验，包括数据工程方面的深厚专业知识；
· 4-6年以上最近的实践经验，涉及设计、构建和扩展数据管道；
· 在Databricks（Spark、Delta Lake、Unity Catalog）和AWS（S3、IAM、网络）方面有扎实的实践经验；
· 对持续学习充满热情，并有兴趣了解快速发展的数据和分析领域；
· 在敏捷分析环境中工作过，与关键利益相关者密切合作以应对不断变化的需求是常态；
· 精通SQL、Python、数据建模和分布式处理；
· 有CI/CD、DevOps和现代数据架构（湖仓、银牌等）的经验；以及
· 优秀的沟通能力，能够将复杂的概念翻译成技术语言
查看英文原文
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
· 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.
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.
- Ready to lead and build something meaningful? Apply today.
- Posting Duration
- This posting will remain open until the role is filled.As of the post date, the salary range for this position is:Min
- USD $111,800.00/Yr.Max
- USD $160,000.00/Yr.This role may be eligible to participate in the Company’s short-term incentive plan, the details of which will be provided to the applicant upon hire.This range is a reasonable estimate and takes into account several factors that are considered in making compensation decisions, including, but not limited to, geographic location, skill set, experience, education, training, internal equity, and other business needs.Originally posted on Himalayas