Senior Data Engineer

The “Podcast Mission” is the product and technology team at Spotify responsible for building the best-in-class tools for podcast creators. We own the platforms, tools, and features that deliver a great creator experience, allowing podcasters to host, create, and distribute their episodes while making money from their art and growing and engaging with their audience.

Our team plays a pivotal role in Podcast Mission’s data ecosystem. We develop and maintain data endpoints that empower creator tools and analytics, providing access to critical data and functionality. Additionally, we optimize data delivery by implementing efficient data serving infrastructure. 

We are looking for a highly skilled Senior Data Engineer to join our dynamic team and contribute to development of a robust data platform.

What You'll Do

• Design, develop and maintain large scale batch and real-time pipelines with data processing frameworks like Scio, Apache Beam and Google Cloud Platform
• Deliver high quality code that is scalable, testable and maintainable
• Collaborate with diverse, cross-functional teams to define data requirements and translate them into actionable solutions
• Implement best practices for data quality, security and governance
• Continuously learn and take on leadership roles that make a real impact
• Support and learn from engineers in your domain and across the organization

Who You Are

• You have Data Engineering experience and you know how to work with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra or DynamoDB
• You have experience building high volume data pipelines using Java and/or Scala
• You have a strong understanding of data modeling concepts, data access patterns and various data storage technologies
• You proactively ensure the adaptability and scalability of data models and pipelines
• You value agile methodologies, data-driven decision making, reliability and incremental delivery
• You value clear documentation and possess strong data debugging skills
• You value teamwork and effective collaboration

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within any time zone from Eastern (UTC -5:00) to Pacific (UTC -8:00) as long as we have a work location

The United States base range for this position is $156,275- 223,250 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.