Data Engineer I

$86,000 - $137,500/Yr

Expedia Group - Seattle, WA

Full-time - Mid Level

Seattle, WA

Administrative and Support Services

About the position

The Data Engineer position at Expedia Group involves designing, developing, and implementing batch and real-time ETL pipelines to generate domain datasets. This role is crucial for providing essential insights to partners and decision-makers, and requires proficiency in GraphQL service API development to ensure fast and secure access to aggregated data. The position emphasizes collaboration across departments and an agile development approach, making it vital for candidates to possess strong problem-solving skills and effective communication abilities.

Responsibilities

• Join the development team and engage in all stages of the software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance.
• Produce clean, well-documented code to ensure clarity and maintainability.
• Build and operate highly available, distributed systems for data extraction, ingestion, and processing of large datasets.
• Maintain awareness of advancements in data engineering, cloud data platforms, and related technologies.
• Collaborate with peers across environments to solve problems and enhance solutions.
• Effectively communicate ideas and approaches to colleagues and stakeholders, providing thorough explanations and maintaining comprehensive documentation.

Requirements

• Bachelor's degree or equivalent experience; technical degree preferred.
• Solid grasp of software design principles, algorithms, and data structures.
• Proficiency in a development language such as Java, Python, Scala, or Kotlin.
• Understanding of relational databases and NoSQL distributed databases (e.g., ScyllaDB, MongoDB).
• Knowledge of Apache Spark, Qubole, Confluent Kafka, and stateful stream processing (e.g., Faust, Java KafkaConsumer, KafkaProducer, and KafkaStreams).
• Experience with version control systems such as Git and CI/CD pipelines.

Nice-to-haves

• Experience with cloud technology and enterprise information management.
• Familiarity with business intelligence and data science concepts.

Benefits

• Exciting travel perks
• Generous time-off
• Parental leave
• Global hybrid work setup
• Career development resources