Description:

The Podcast Mission is the product and technology team at Spotify responsible for building tools for podcast creators.
The team develops and maintains data endpoints that empower creator tools and analytics.
The role involves optimizing data delivery by implementing efficient data serving infrastructure.
The Data Engineer will design, develop, and maintain batch and real-time pipelines using frameworks like Scio, Apache Beam, and Google Cloud Platform.
The position requires delivering high-quality code that is scalable, testable, and maintainable.
Collaboration with diverse, cross-functional teams to define data requirements and translate them into actionable solutions is essential.
Best practices for data quality, security, and governance must be implemented.
Continuous learning of new tools and practices is encouraged.
The role includes supporting and learning from engineers within the domain and across the organization.

Requirements:

Candidates must have Data Engineering experience and be familiar with heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, or DynamoDB.
Experience using tools like Airflow, Luigi, and data warehouses such as Snowflake and BigQuery is required.
A strong understanding of data modeling concepts, data access patterns, and various data storage technologies is necessary.
Candidates should value agile methodologies and incremental delivery.
Clear documentation and strong data debugging skills are important.
Teamwork and effective collaboration are valued traits for this position.

The United States base salary range for this position is $122,716 - $175,308 plus equity.
Benefits include health insurance and a six-month paid parental leave.
A 401(k) retirement plan is offered.
Employees receive a monthly meal allowance.
The position includes 23 paid days off and 13 paid flexible holidays.
Spotify promotes an inclusive workplace and values diverse perspectives and backgrounds.