Senior Data Engineer, Ads Product & Tech
About The Position
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. We are looking for a Senior Backend Engineer to join our Advertising Product & Technology organization. Our teams are charged with scaling Spotify's Free Product and our Podcast Monetization Mission. You will work directly on an array of product features, advertiser publishing tools, and insights and reporting functionalities. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our fast-paced podcast and ad services technology platforms. Our team at Spotify looks for candidates that share our common interest in distributed backend systems, their scalability, and continued development. In this role, you will closely collaborate with our internal customers to figure out the best API and backend system design to scalably meet their needs. You will build the backend systems that power our application, scale highly distributed systems, and continuously improve our engineering practices. Above all, this work will impact how the world experiences music.
Requirements
- Proven experience working with high-volume, heterogeneous data, ideally within distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure
- Familiarity with data processing frameworks like Scio, GCP Dataflow, AWS EMR, and Apache Beam.
- Strong programming skills in Java, or Scala, Python.
- Commitment to agile software processes, data-driven development, reliability, and responsible experimentation.
- Hands-on experience with orchestration tools like Airflow or similar.
- Excellent problem-solving and communication skills.
Responsibilities
- Maintain and enhance Spotifyâs reporting pipelines ensuring they remain business-critical.
- Build large-scale batch and real-time data pipelines for efficient collection, processing, and storage of reporting-related data.
- Make enhancements to data models and ETL code to improve pipeline efficiency and data quality.
- Work closely with partners to understand business requirements and translate them into technical solutions.
- Write scalable, testable, maintainable, and high-quality code.
- Collaborate with engineers, product managers, and other partners, embracing learning and leadership opportunities daily.
- Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines.
- Write distributed, high-volume services and know how to deploy and keep them running in production.
Benefits
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
