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Senior Data Engineer - AdTech/Media Solutions

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to Team

Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.

The Senior Data Engineer is part of the MeSo ADAM (Audience, Data, Attribution & Measurement) team which sits within our Product & Technology division. This team is responsible for improving Ad Relevancy for our customers and increasing/providing insights for our advertisers through the use of data. In this role, you will be a technical leader, guiding the design and development of scalable solutions while driving innovation around our Travel Media Network.

In this role, you will:

  • Lead and actively participate in all phases of the software development lifecycle, including the design, analysis, development, and deployment efforts for multiple enterprise applications projects to tackle sophisticated business problems

  • Deconstruct large, sophisticated problems into manageable and achievable breakthroughs driving streamlined execution by the team

  • Provide technical guidance and mentoring to peers and more junior engineers, helping them overcome obstacles and have growth opportunities

  • Collaborate with EG leaders with vision to architect and build robust applications and thoughtfully choose relevant technologies to evolve EG travel platform

  • Maintain, monitor and improve our solutions and systems with a focus on service excellence; apply industry standards and innovative technologies to improve efficiency, quality, and system performance

  • Technologies we use: Java, Scala, AWS Cloud Services, GraphQL, Kafka, Flink, Spark, Cassandra, MongoDB, DataDog, Splunk

Experience and qualifications:

  • Bachelor’s or Master’s degree in Computer Science or a related technical field, or equivalent professional experience

  • 6+ years of experience in developing data and software solutions, including ETLs using cloud architectures

  • Proficiency with technologies like Apache Spark, Apache Kafka, Apache Flink, Splunk, Datadog, NoSQL and SQL databases

  • Experience and exposure to ML / AI technologies

  • Proven leadership in executing vaguely defined, complex projects.

  • Preferred: Experience and exposure to advertising technology

The total cash range for this position in Chicago is $161,000.00 to $225,500.00. Employees in this role have the potential to increase their pay up to $257,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request .

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs .

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
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Average salary estimate

$209250 / YEARLY (est.)
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$161000K
$257500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Engineer - AdTech/Media Solutions, Expedia Group

As a Senior Data Engineer at Expedia Group, you'll be part of a dynamic team forging innovation in the travel industry. Your role is crucial in our MeSo ADAM team, where you'll handle sophisticated data solutions that enhance ad relevancy and provide valuable insights to our advertising partners. In this position, you’ll lead the way in all software development life phases—from design to deployment—while deconstructing complex challenges into manageable tasks. You'll also mentor and guide junior engineers, fostering a supportive environment where everyone can thrive. This role is all about collaboration; you’ll work alongside Expedia Group leaders to architect robust applications and leverage cutting-edge technologies like Java, Scala, AWS, and Apache tools. Your technical expertise will help improve our travel platform's efficiency and effectiveness, enhancing experiences for travelers and partners alike. Enjoy a workplace culture that values openness and celebrates diversity, with great benefits including travel perks, generous time off, and career development resources tailored to fuel your passion for travel. Join us at Expedia Group, where a world of possibilities is waiting for you, and together, we will shape the future of travel!

Frequently Asked Questions (FAQs) for Senior Data Engineer - AdTech/Media Solutions Role at Expedia Group
What responsibilities does a Senior Data Engineer at Expedia Group have?

As a Senior Data Engineer at Expedia Group, your primary responsibilities include leading software development phases, designing and deploying scalable data solutions, and driving ad relevancy improvements for customers. You’ll also guide and mentor junior engineers while collaborating closely with leadership to build robust applications that enhance user experiences.

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What qualifications are required for the Senior Data Engineer role at Expedia Group?

To qualify for the Senior Data Engineer position at Expedia Group, candidates should possess a Bachelor’s or Master’s degree in Computer Science or a related field along with at least 6 years of experience in data and software solutions, particularly using cloud architectures. Advanced proficiency in Apache Spark, Kafka, and Flink, as well as a solid foundation in machine learning, is also critical.

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What technologies do Senior Data Engineers at Expedia Group work with?

Senior Data Engineers at Expedia Group primarily work with technologies such as Java, Scala, AWS Cloud Services, GraphQL, Kafka, Flink, Spark, and both NoSQL and SQL databases. Familiarity with platforms like Splunk and DataDog for monitoring is beneficial, along with experience in advertising technology.

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What kind of work culture can a Senior Data Engineer expect at Expedia Group?

At Expedia Group, a Senior Data Engineer can expect a vibrant, inclusive work culture that values diversity and collaboration. The company promotes an open environment where innovative ideas are celebrated and where employees are given opportunities for growth and development, supporting both personal and professional aspirations.

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What are the career growth opportunities for Senior Data Engineers at Expedia Group?

Senior Data Engineers at Expedia Group have significant career growth opportunities, including roles in leadership, advanced technical positions, and involvement in strategic projects that shape the travel experience. The company also offers ongoing training and development resources to help engineers enhance their skills and elevate their careers.

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Common Interview Questions for Senior Data Engineer - AdTech/Media Solutions
Can you describe your experience with Apache Spark?

When answering this question, provide specific examples of projects where you've used Apache Spark to process and analyze large data sets. Discuss the architecture, the performance improvements achieved, and any specific challenges you faced while using this technology.

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How do you approach mentoring junior engineers?

In your response, emphasize your commitment to fostering a collaborative learning environment. Describe your methods for identifying strengths and weaknesses in your mentees and how you tailor your guidance and support to help them grow.

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What strategies do you use to ensure data accuracy and integrity?

Discuss the various methods you implement for data validation, cleansing, and quality assurance. Provide examples of tools and processes you've used to maintain high data standards and how you handle inconsistencies within data sets.

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How would you tackle a complex data migration project?

Summarize your project management approach, detailing your planning process, stakeholder communication strategy, and the technologies you would use for a successful migration. Include any past experiences that highlight your effectiveness in handling such initiatives.

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Can you explain the role of machine learning in improving ad relevancy?

Discuss how machine learning algorithms can analyze user behavior and preferences to predict relevant ads. Mention any direct experience you have with implementing ML models and the results achieved from enhancing ad targeting strategies.

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What has been your biggest challenge as a data engineer, and how did you overcome it?

Reflect on a specific challenge you faced, such as system limitations or a tough project deadline. Describe the steps you took to address the issue and what you learned from the experience that made you a better engineer.

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How do you prioritize tasks in a fast-paced environment?

Highlight your organizational skills and techniques for prioritization, like establishing clear project timelines and utilizing task management tools. Provide examples of how you’ve made adjustments to meet deadlines while ensuring quality work.

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What kind of systems have you built to monitor and maintain data systems?

Discuss the monitoring tools you’re familiar with, like DataDog or Splunk, and the systems you built for proactive maintenance. Explain how these systems helped you maintain operational efficiency and data integrity throughout your projects.

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How do you stay updated with the latest technology trends in data engineering?

Share how you pursue continuous learning, such as attending workshops, participating in webinars, or engaging with online communities. Mention any particular technologies or trends that you find especially relevant and your current areas of focus.

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What are your thoughts on collaboration in a data engineering team?

Emphasize the importance of teamwork in achieving project goals. Discuss your experiences collaborating with cross-functional teams, sharing insights, and how collective brainstorming leads to innovative solutions in data engineering.

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We power global travel for everyone, everywhere.

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DATE POSTED
April 4, 2025

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