Senior Backend Engineer - Data Ingestion & Pipelines

Spotify

New York (NY)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Spotify is seeking a backend-focused engineer to design and operate large-scale data pipelines for music content delivery. You will own significant portions of ingestion, partner data, and API contracts, while collaborating across Content Ops and product teams to scale the platform.

The role emphasizes real-time validation, reliable ingestion, and cross-team coordination in a global environment. London/Stockholm-based with flexible in-person work.

Qualifications

  • Experience building and operating backend services and data pipelines at scale.
  • Designed APIs and managed schema evolution and backward compatibility.
  • Experience modelling data for auditability, versioning, and efficient querying.

Responsibilities

  • Build and run backend services and data pipelines ingesting music deliveries from partners.
  • Own large parts of the ingestion pipeline and lead technical work for new content types.
  • Improve data quality at entry and enhance operational tooling around the pipeline.
  • Design and evolve APIs and schemas with stable, backward-compatible contracts.
  • Move validation towards real time and document Silk Road platform for self-service use.
  • Deliver roadmap work, participate in planning, review code, and participate in on-call duties.
  • Collaborate with Content Ops, operations tooling, partner teams and product teams.

Skills

Backend services
Data pipelines
API design
Java/Scala/Go

Tools

Java
Scala
Go
GCP

Job description

Spotify is seeking a backend-focused engineer to design and operate large-scale data pipelines for music content delivery. You will own significant portions of ingestion, partner data, and API contracts, while collaborating across Content Ops and product teams to scale the platform.

The role emphasizes real-time validation, reliable ingestion, and cross-team coordination in a global environment. London/Stockholm-based with flexible in-person work.

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