Spotify
Spotify
5,001 – 10,000 Employees
H1B Visa SponsorB2CeCommerceMedia
Spotify is a global audio streaming company offering access to an extensive catalog of music and podcasts. Its teams combine engineering, data science, and client partnerships to develop personalized listening experiences and improve how people discover and enjoy audio. For job seekers, Spotify’s hiring context spans these disciplines and reflects an emphasis on diversity, equity, inclusion, belonging, and work intended to create broader social and environmental impact.

Backend Engineer II, Data Platform – Spotify (Hybrid, Sweden)

Build Spotify’s data catalog, lineage, and metadata platform as a Backend Engineer II. Develop reliable Java services and batch or streaming pipelines that support critical data infrastructure.

Description

  • Design, build, and operate backend services and APIs for data catalog, lineage, and publishing systems
  • Adapt platform systems to new storage technologies and data assets
  • Develop and operate batch and streaming pipelines that keep metadata current
  • Process platform events and audit logs to track how data is created and changed
  • Turn lineage and metadata into data products for internal teams
  • Translate platform-user needs into technical designs and lead delivery and rollout
  • Remain accountable for project outcomes after production launch
  • Participate in on-call rotations for critical services
  • Build observability and quality checks into platform development
  • Apply automation, including AI tools, to reduce operational toil
  • Establish internal standards for naming, storage, and metadata
  • Advance data management standards and supporting systems

Requirements

  • Proven experience building and operating production backend services and APIs with Java
  • Strong attention to API design, versioning, and backward compatibility
  • Comfortable working with SQL
  • Experience with data pipelines or cloud data warehouses such as BigQuery, Snowflake, or Databricks
  • Working knowledge of orchestration, metadata management, data quality, governance, and lineage
  • Ability to divide complex problems into clear, deliverable steps while evaluating tradeoffs and risks
  • Accountability for the quality of shipped code, including code produced with AI assistance
  • Strong communication and collaboration abilities
  • Comfort working in a fast-moving platform environment
  • Hands-on experience with batch or streaming frameworks such as Beam, Flink, or Spark is a plus

Benefits

  • Flexible work-from-home arrangements
  • Freedom to work where you are most effective
  • Reasonable accommodations throughout recruitment and interviews
  • In-person collaboration with flexibility for remote work

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