Data Engineer III

Expedia Inc.
Seattle, WA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$146,000.0 - $233,500.0
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Java (Programming Language) Artificial Intelligence Airflow Amazon S3 Data Analysis Cloud Computing Code Review Information Engineering Data Security Data Systems Cursor (Graphical User Interface Elements)
+23 more
Database Queries Software Debugging Software Design Patterns Distributed Computing Environment Apache Hive Python (Programming Language) Operational Databases Software Tools Cloud Services Cloudera Software Engineering SQL Databases Data Ingestion Sql Optimization Apache Spark Jupyter Information Technology AWS Glue Apache Kafka Data Management Virtual Agents Data Pipelines Databricks

Job description

As a Data Engineer III in the AI and Analytics Platform team, you will design and improve reliable data pipelines, shape well-modeled data products, and help build analytics-friendly and AI-ready datasets that power self-service insights, automation, and emerging Agentic AI use cases across Expedia Group. This role is a strong fit for someone who enjoys solving complex data problems, writing high-quality code and SQL, and building systems that are scalable, observable, and trusted by their users.

In this role, you will

  • Design, build, and maintain scalable batch and near real-time data pipelines and data products that support analytics, reporting, and downstream business use cases.
  • Help build foundational analytics- and AI-friendly datasets across domains so data is easier to discover, trust, reuse, and apply in reporting, decision-making, automation, and emerging AI use cases.
  • Write efficient, maintainable code and advanced SQL, applying strong engineering fundamentals to data ingestion, transformation, modeling, and access patterns.
  • Lead complex, well-defined projects from technical design through delivery, while identifying inefficiencies in existing systems and improving reliability, scale, and maintainability.
  • Build and improve data models, schema design patterns, and data quality practices so that data is easier to understand, trust, and use.
  • Strengthen operational excellence through testing, monitoring, alerting, troubleshooting, and clear ownership of service health, freshness, and performance expectations.
  • Partner closely with Product Managers, engineers, analysts, and business stakeholders to translate intake requests and business needs into practical technical solutions, with many projects and data products ultimately consumed by executive leadership for decision-making and visibility.
  • Mentor more junior engineers through collaboration, technical guidance, and code review.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field; or equivalent related professional experience.
  • 5+ years of relevant professional experience in data engineering, software engineering, or a closely related technical field.
  • Strong SQL skills and hands-on experience building and operating production-grade data pipelines or data products in cloud-based environments.
  • Experience with data modeling, schema design, and modern data access patterns, with the ability to make sound technical decisions within project scope.
  • Experience testing, monitoring, debugging, and improving data systems for reliability, observability, and operational quality., * Experience supporting analytics, business intelligence, experimentation, or AI/ML-oriented data use cases.
  • Experience with schema evolution, backfills, data freshness expectations, and service-level thinking for production data systems.
  • Experience leading moderately complex technical designs and driving delivery across multiple collaborators or dependent teams.
  • Experience improving engineering standards through mentoring, code reviews, documentation, and sharing best practices with peers.
  • Familiarity with cloud-native data tooling and distributed data processing patterns at scale.
  • Hands-on experience with technologies and infrastructure commonly used for end-to-end data engineering at Expedia, such as SQL, Python or Java, Spark, Hive, Trino, Querybook, Airflow, Jupyter, Databricks, AWS S3, AWS Glue Catalog, Unity Catalog, Dataproc, EGMP, Kafka Connect, DataPull, and Data Workbench.
  • Practical experience using AI-assisted engineering tools such as Claude, Codex, Glean, Cursor, or similar tools to accelerate development, troubleshooting, documentation, and knowledge discovery.
  • Ability to apply AI tools thoughtfully to enhance and automate data engineering workflows while maintaining strong standards for data quality, security, governance, and operational reliability., 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.

Benefits & conditions

3.83.8 out of 5 stars Seattle, WA Hybrid work $146,000 - $233,500 a year - Full-time, Pulled from the full job description

  • Health insurance
  • Paid time off
  • Employee discount
  • Vision insurance
  • Dental insurance
  • Employee assistance program, The total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00, 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.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life .

About the company

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you’ll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere., We’re focused on shaping the future of travel and helping exceptional people do their best work. Whether you’re building in engineering or partnering across the business, you’ll be part of a team working toward a common goal with curiosity, humility, and a bias for better outcomes., Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

55 sec

Validating data processing architectures via containerized events

Modood Alvi · WWC 2025

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:31 min

Producing candlestick visualization charts inside integrated Jupyter notebooks

Akmal Chaudhri Akmal Chaudhri · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · WWC 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all