Udio · 4 weeks ago
Senior Backend Engineer, Data Pipelines and Integrations
United States
Full-time
Remote
Senior Level
$160K/yr - $220K/yrUdio is a company focused on transforming unified datasets into application-ready content and robust downstream analytics. They are seeking a Senior Backend Engineer to design and maintain data models, build ETLs and streaming pipelines, and ensure data consistency across various systems.
Artificial Intelligence (AI)Information TechnologyInternet
Responsibilities
Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval
Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs
Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations
Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation
Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments
Define and track key operational metrics, including latency, completeness, accuracy, and event health
Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences
Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights
Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing
Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows
Qualification
Required
Experience building ETL/ELT pipelines, event processing systems, and structured data models for applications or analytics
Strong background in data modeling, metadata systems, indexing, or building canonical representations for heterogeneous content
Proficiency in Python, SQL, and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar)
Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas
Experience with event-driven architectures, Pub/Sub, or Kafka-like systems
Strong understanding of data quality, schema evolution, lineage, and operational reliability
Ability to design pipelines that balance cost, latency, correctness, and scale
Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders
Preferred
Experience building application-facing APIs or microservices that expose structured content
Background in information retrieval, indexing systems, or search infrastructure
Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms
Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines
Understanding of batch + streaming architectures and how to blend them effectively
Experience with Go, Next.js, or React Native for occasional full-stack contributions
Benefits
Highly competitive salary and equity
Quarterly productivity budget
Flexible time off
Fantastic office location in Manhattan
Productivity package, including ChatGPT Plus, Claude Code, and Copilot
Top notch private health, dental, and vision insurance for you and your dependents
401(k) plan options with employer matching
Concierge medical/primary care through One Medical and Rightway
Mental health support from Spring Health
Personalized life insurance, travel assistance, and many other perks
Company
Udio
Udio is an AI-powered music creation app that offers a platform for instant music creation.
Founded in 2023
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$10M2024-04-10Seed· $10M
Recent News
2026-01-07
2026-01-06
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