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Data Warehouse Engineer II (US, Virtual, NOAM)

BCD Travel

远程工作

地点
Remote (United States)
薪资
USD 75000-129000 per annual
工作安排
Full Time
发布日期
2026年10月10日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

Shape what's next with BCD Data Warehouse Engineer II (Remote) Full time, United States The senior data warehouse engineer role will serve as a technical subject matter expert within the Operations Technology Transformation organization, leading the design, development, and optimization of scalable enterprise data solutions. This role is responsible for architecting and implementing robust data pipelines, cloud-based data platforms, and analytical frameworks that support strategic business initiatives and operational excellence. The ideal candidate combines deep technical expertise in cloud data engineering, database development, and data architecture with strong analytical, troubleshooting, and stakeholder management skills. Working closely with product owners, business stakeholders, and analytics teams, this individual will deliver reliable, end-to-end data solutions across development, UAT, and production environments. What You'll Do Design and implement scalable data architectures, and ensure clean, reliable data flow from multiple sources into the enterprise data warehouse Design and manage scalable cloud-based data platforms, database schemas, data models and optimize query performance Assemble and manage large, complex datasets that meet functional and non-functional business requirements Architect and implement robust data pipelines for the extraction, transformation, and loading (ETL/ELT) of data from multiple internal and external sources Establish and maintain data models, data integration patterns, and engineering best practices to ensure high-quality, reliable data delivery Design, develop, and maintain scalable enterprise data solutions that support operational, analytical, and business intelligence requirements Develop scalable, secure, and cost-efficient data processing solutions that support growing business demands Monitor and improve the performance, reliability, and scalability of data platforms and pipelines Support our analytic tools and data solutions that enable actionable insights into key business performance metrics Support operational reporting, performance measurement, and business intelligence initiatives Collaborate with analytics teams to ensure data assets are structured, accessible, and optimized for reporting and analysis Develop and optimize high-performance SQL queries, views, stored procedures, and database objects to support reporting and analytics requirements Implement query tuning and performance optimization strategies to improve efficiency and reduce costs Provide technical guidance and best practices to analytics team members regarding effective and efficient use of enterprise data assets Partner closely with product owners, business stakeholders, data analysts, and technology teams to understand business requirements and translate them into scalable technical solutions Support data solution delivery across development, testing, UAT, and production environments Participate in solution design reviews, technical planning sessions, and cross-functional initiatives Demonstrate strong analytical and troubleshooting skills to diagnose and resolve data pipeline failures, data quality issues, and performance bottlenecks Implement monitoring, alerting, and observability solutions to ensure data reliability and operational stability Conduct root cause analysis and drive continuous improvements across data platforms and processes What You'll Bring Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent practical experience Extensive experience in data engineering, data warehousing, or related technical roles Strong experience designing and developing scalable ETL/ELT pipelines Hands-on experience with AWS and/or Microsoft Azure data services Advanced SQL development skills, including query optimization, stored procedures, and performance tuning Experience working with large-scale structured and unstructured datasets Strong understanding of data modeling, database design, and data integration principles Experience supporting analytics, reporting, and business intelligence initiatives Excellent problem-solving, troubleshooting, and analytical skills Strong communication and stakeholder management abilities Why you’ll love working here Join a global industry leader where curiosity drives innovation, growth is continuous, and every voice matters. At BCD, you'll have the freedom to make an impact, the support to develop your potential, and the opportunity to help shape the future of travel. Meet BCD BCD Travel creates connections that move people and ideas forward. Through open technology and trusted human expertise, we help companies and people navigate change, simplify complexity and make confident decisions about how and when they travel. Our intuitive digital experiences for every stakeholder power journeys that fuel success and drive progress. With 15,000+ dedicated team members serving clients in 170+ countries, BCD is shaping a more sustainable future for business travel. Industry-leading meetings and events management and a global consultancy complete our suite of solutions and services. In 2025, BCD achieved $24.4 billion in sales. For more information, visit . Get to know us by exploring our career site and checking out our social media: Career site BCD What’s in it for you Flexible working hours and work-from-home or remote opportunities Opportunities to grow your skillset and career Work at the forefront of travel technology and help shape the future of business travel Generous vacation days so you can rest and recharge A compensation package that feels fair to you, including mental, physical, and financial wellbeing tools Travel industry professional perks and discounts An inclusive work environment where diversity is celebrated Work From Anywhere opportunity for 60 days per year At BCD Travel we value you, our culture and success is defined by you. We carefully consider a wide range of compensation factors, including your professional background and experience. The salary range for candidates in applicable jurisdictions in the US for the position of Data Warehouse Engineer II is between $75,000 and $129,000. The actual pay depends on your skills, qualifications, experience and geographical location. Ready to shape what’s next? Apply now! We’re dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about a role, but your experience doesn’t align perfectly, we still encourage you to apply. We are committed to providing reasonable and necessary accommodations to ensure all employees can perform their roles effectively. For accommodation requests or further information, contact our Talent Acquisition department at . Originally posted on Himalayas

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选择能够回应职位要求的真实经历,说明你的贡献,只使用能够证实的数字。遵循雇主的申请说明,并在提交前检查联系方式、文档内容和 PDF。

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为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

搜索没有结果时应该怎么办?

尝试更通用的职位名称或单个技能,并逐一移除筛选条件。不同企业可能用不同名称描述相似工作。如果某个职位已经消失,请在企业招聘页面搜索其职位编号。扩大搜索范围不会让已经关闭的职位重新开放。

申请会通过 ResumizeAI 直接提交吗?

申请按钮会打开外部网站。请按照企业或招聘服务的说明,在该网站完成并确认提交。在 ResumizeAI 中准备简历并不等于已经申请职位。如果链接只打开企业网站,请先找到对应职位,再继续申请流程。

如何针对职位调整简历和求职信?

将招聘要求与能够解释清楚的项目、任务和成果联系起来。突出相关经历,不要添加未经实际掌握的技能或虚构成绩。在求职信中用具体例子说明申请动机,并遵守企业要求的语言和文件格式。提交前检查两份文件,确保内容准确、联系方式正确、链接可用。