Data Engineer III:

What you’ll do:

• Data Pipeline Development: Design, build, and maintain data pipelines to ingest, process, and transform data from various sources into usable formats for analytics and reporting

• Data Modeling: Develop and maintain data models, ensuring data consistency, accuracy, and efficiency

• Data Integration: Collaborate with cross-functional teams to integrate data from different sources and systems

• Data Warehousing: Work on data warehousing solutions, optimize query performance, and ensure scalability

• ETL (Extract, Transform, Load): Create ETL processes using SQL (advanced level) to clean, transform, and load data into data warehouses or other storage systems

• Big Data Technologies: Utilize technologies such as Hadoop, Spark, and related tools for handling and processing large datasets

• Utilize technologies such as AWS Redshift, EC2, SQS, Spark, and related tools for handling and processing large datasets

• Working experience in massively parallel processing (MPP) databases

• Data Quality Assurance: Implement data quality checks, monitor data pipelines, and address any issues or discrepancies

• Optimization: Identify opportunities for performance and efficiency improvements in data processing and storage

• Documentation: Maintain documentation for data pipelines, models, and processes

• Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and provide data solutions

• Security and Compliance: Ensure data security and compliance with relevant data protection regulations and company policies

• Mentoring: Provide guidance and mentorship to junior data engineers and team members

Who you are:

• Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Information Systems, Engineering)

• 5 years of experience as a Data Engineer, with a strong background in data pipeline development, ETL processes, and data modeling

• Proficiency in programming languages like Python, SQL, and experience with MPP database technologies (e.g., Redshift, Teradata, Netezza, Oracle Exadata)

• Strong knowledge of big data technologies (AWS Redshift, Spark, etc.)

• Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)

• Experience with data warehousing solutions (e.g., Redshift, Snowflake)

• Excellent problem-solving skills and the ability to work effectively in a collaborative team environment

• Strong communication skills and the ability to work with non-technical stakeholders

• Knowledge of data governance and data security best practices

The total cash range for this position in Seattle is $128,500.00 to $180,000.00. Employees in this role have the potential to increase their pay up to $205,500.00, 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.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.View our full list of benefits.

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.