Senior Data Engineer

Expedia Group; Seattle (WA); On-site; USD 173,000 - 243,000; Full time

Job summary

A leading company in the travel industry seeks a Staff Data Engineer to design and implement scalable data platforms. The role involves managing data pipelines, ensuring data governance, and driving innovation in data engineering practices. Ideal candidates will have extensive experience in data architecture, cloud platforms, and marketing technologies, along with a strong background in Python and SQL. This position offers a competitive salary and benefits in a collaborative work environment.

Benefits

Generous time-off

Parental leave

Flexible work model

Career development resources

Qualifications

• 10+ years of development experience in marketing acquisition technologies.
• Extensive experience designing and operating distributed data platforms.

Responsibilities

• Design and implement a scalable data platform for marketing automation.
• Lead development across the full data lifecycle including capture and processing.
• Drive continuous improvement initiatives for data engineering processes.

Skills

Python

SQL

ETL

Data Governance

Data Modeling

Education

Bachelor’s degree

Tools

Spark

Kafka

Flink

HBase

AWS

Job description

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 flexible work model (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.

What you’ll do:

Data Engineering & Architecture:

• Design and implement a scalable data platform to power marketing automation, personalization, and MarTech initiatives.
• Architect and manage robust data pipelines and ETL processes to ensure accuracy, performance, and reliability.
• Uphold data governance, security best practices, and regulatory complianceacross all marketing data workflows.
• Lead development across the full data lifecycle, including capture, processing,storage, and distribution.
• Leverage AWS best practices and services (e.g., compute, storage, and databases) to build efficient, cloud-native solutions.

Integration & Data Flow Optimization

• Act as a role-model with impact-focus, innovation, continuous improvement and excellence within the team.
• Implement, create change management for and maintain best practices best practices for data ingestion, creation, enrichment and management, including data modeling, ETL processes, data warehousing, real-time data streaming, processing, storage, efficiency and real time insights.
• Create and execute plans for cost-effective, efficient, resilient, scalable and operational data infrastructure.
• Lead the evolution of ML platform to help accelerate business impact bootstrapping AI.
• Lead efforts to integrate data across multiple marketing and sales platforms, including CRM, email, automation platforms, and analytics tools, such as Salesforce, Adobe Marketing Cloud, and Marketo.
• Collaborate with MarTech, analytics, and IT teams to enhance the data flow between marketing platforms, ensuring seamless data access and integration for campaigns and reporting.
  

Innovation & Continuous Improvement

• Stay current with data engineering trends, MarTech advancements, and emerging technologies that can enhance the effectiveness and efficiency of marketing operations.
• Drive continuous improvement initiatives to refine data engineering processes and leverage new tools or frameworks that support automation and scalability.
• Lead or participate in data-related pilot projects, testing new solutions and capabilities that could enhance marketing automation and analytics.
• Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency).

Who you are:

• Bachelor’s degree; or equivalent related professional experience.
• 10+ years of development experience, particularly in using marketing acquisition technologies to deliver automation of multiple channels and drive operational efficiencies. This is a Staff Data Engineer/Technical Lead equivalent role.
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Python, SQL, Airflow, ETL, and expertise with data processing technologies and query authoring (SQL).
• Proven ability to design and optimize batch and real-time data pipelines and systems, ensuring their quality, performance, and stability.
• Proven track record of designing and managing large-scale data infrastructures in a complex, fast-paced environment with preferable similar experience scaling data in a fast growing late-stage startup.
• Expertise in cloud platforms and big data technologies including proficiency in database management systems, ML and AI systems, data warehousing solutions.
• Experience with data integration tools and techniques, processes and real-time datastreaming and processing.
• Experience operationalizing ML/AI models using AWS SageMaker, Bedrock, Databricks MLOps frameworks or others in production environments.
• End-to-end ownership of data analytics projects from requirements gathering through architecture, design, and deployment.

Experience in Generative AI/LLMs, preferably experienced in delivering and bringing to production.

The total cash range for this position in Austin is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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.