Data Engineer - III

The Data Engineer - III is a high performing individual contributor who mentors junior engineers, applies new data engineering principles to improve existing systems, and leads complex, well-defined projects.

What you'll do:

• Develops and tests complex or non-routine software applications and related programs and procedures to ensure they meet design requirements.

• Effectively applies knowledge of software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, main table, optimized, modular with good naming conventions

• Effectively applies knowledge of databases and database design principles to solve data requirements

• Effectively applies concepts of object oriented design, distributed computing, performance/scalability tuning, advanced data structures and algorithms to batch and real-time stream analytics and large data processing

• Understands software frameworks and how to leverage them to write simpler code

• Leads and clarifies code evolution in code reviews

• Coordinates different stakeholders with varied perspectives to develop solutions to issues, and contributes own suggestions

• Thinks holistically to identify opportunities around policies / processes to increase efficiency across organizational boundaries

• Assists with a whole systems approach to analyzing issues by ensuring all components (structure, people, process and technology) are identified and accounted for

• Recognizes areas of inefficiency in code or systems operation and offer suggestions for improvements

• Recommends advancements, innovations and changes in technologies (specifically relating to data engineering, cloud data platforms, data models, enterprise information management, business intelligence and data science)

• Compiles data and reports on major operational or technical initiatives (like RCAs) to larger groups, whether via written or oral means

Who you are:

• Bachelor's or Master's degree in a related technical field; or equivalent related professional experience

• 5+ years of experience for Bachelor's

• 3+ years of experience for Master's

• Software development in at least 3 different languages

• Built and maintained more than one data pipeline/data product in production environments (bug fixing, troubleshooting, monitoring, etc.)

• Displays strength in a couple of programming languages relevant to data (e.g. Java, Spark, Python)

• Identifies strengths and weaknesses among languages for particular use cases

• Applies organizational technology patterns effectively in their projects and makes recommendations on alternate options

• Has hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and is able to make independent decisions within scope of project

• Displays a good understanding of data structures and algorithms

• Has hands-on experience working with at least 1 cloud technology and its offerings within the data specialization

• Understands how projects/teams interact with other teams

• Understands and design moderately complex systems

• Has some familiarity with some data modeling and schema design patterns

• Has a good understanding of organizational reference patterns and technology choices and applies them to their projects

• Tests and monitors code at the project level

• Understands how to test and monitor tools

• Debugs applications

• Tests, debugs and fixes issues within established SLAs

• Designs software that is easily testable and observable

• Understands how team's goals fit a business need

• Identifies business problems at the project level and provide solutions

• Development/language skills (Java/Python/Scala)

• Architecture

• Testing, monitoring, alerting

• Business acumen/domain knowledge

• Data access patterns

• Streaming technology

• Data validation

• Data performance

• Cost optimization

• Role Expectations

• Proactively teams up with peers across the organization to build an understanding of cross dependencies and shared problem solving

• Participates in a community of practice to share and gain knowledge

• Continually seeks new technical skills in an engineering area

• Shares new skills and knowledge with team to increase effectiveness

• Demonstrates knowledge of advanced and relevant technology

• Exhibits comfort working with several forms of technology

• Understands the relationship between applications, databases and technology platforms

• Demonstrates advanced knowledge of building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

#L1-NV1

The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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.

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.