SoundCloud empowers artists & fans to connect & share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build & grow their careers by providing them with the most progressive tools, services, & resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud.

Were looking for a Senior Data Engineer to join our Data Platform team, which is responsible for the efficient, reliable, secure, & compliant propagation of all datasets across the company to our data warehouses. At SoundCloud, we rely heavily upon data-driven, informed decision making, & the Data Platform team is key to enabling that.

Key Responsibilities:

The Data Platform team cooperates mostly with infrastructure engineering on the back-end side, taking care of all the integrations, & builds software to make the data flow from the source into the data warehouse or the system which transforms data in real time. As a Data Engineer at SoundCloud, you will be experienced in designing & implementing highly scalable, distributed, real-time data pipelines & developing highly scalable & secure data services in languages like Go & Scala & Java. We also use Google Cloud Platform (DataFlow, BigTable, AI Platform, BigQuery, Kafka, Kubernetes, Spark, Airflow, Terraform).

Experience & Background:

• The ideal candidate will have 3+ years of experience in back-end engineering including 1-2 years of experience setting up data processing pipelines, ideally in the cloud environment (GCP)
• Experience designing & implementing (real-time) data processing systems, facilitating technical decisions, considering technical tradeoffs
• You are a strong individual contributor driven by solving challenging technical problems
• You are comfortable participating in architecture discussions, planning new & improving existing solutions
• You are comfortable with large scale data infrastructure (PBs scale). You understand the tradeoffs that come with it