✦ Luna Orbit — Data & Analytics

Staff Data Engineer (Audio/ML)

at Walt Disney

📍 Nicasio, United States Hybrid 💰 $170K – $228K USD / year Posted March 16, 2026
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Position Details

Salary $170K – $228K USD / year
Type Full-Time
Experience mid
Exp. Years 8+ years
Education Master's Degree with preference for PhD in Data Engineering/Science, Computer Science, Signal Processing, or a related field
Category Data & Analytics

About this role

This role involves developing and maintaining scalable data pipelines for immersive and multichannel audio datasets to support AI/ML research and production workflows.

Key Responsibilities

  • Design data pipelines
  • Develop audio preprocessing techniques
  • Collaborate with AI researchers
  • Optimize pipeline performance
  • Integrate external datasets

Technical Overview

The technical environment includes Python, Librosa, FFmpeg, Docker, Kubernetes, Apache Spark, Airflow, and PyTorch, focusing on audio data processing and machine learning model support.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 8+ years of experience in building scalable data pipelines for audio and ML applications, proficient in Python and cloud-native tools, with a strong background in audio processing and immersive media.

Must-Have Skills

PythonData pipelinesAudio processing librariesApache SparkAirflowKubernetesDockerML models

Nice-to-Have Skills

LibrosaFFmpegPyTorchHigh-order ambisonicsActive learning

Tools & Platforms

LibrosaFFmpegSoXDockerKubernetesApache SparkAirflowPyTorch

Required Skills

PythonData pipelinesAudio processingLibrosaFFmpegDockerKubernetesApache SparkAirflowPyTorchSignal ProcessingMultichannel audioImmersive audioAI research

Hard Skills

PythonPandasNumPyPyTorchLibrosaFFmpegDockerKubernetesApache SparkAirflowData pipelinesAudio processingML modelsData manipulation

Soft Skills

collaborationproblem-solvingcommunicationteamworkanalytical thinkingadaptability

Industry & Role

Industry Media
Job Function Build and optimize data pipelines for immersive audio AI research
Role Subtype Data Engineer
Tech Domains Python, Apache Spark, Kubernetes, Docker, Airflow, Librosa, FFmpeg, PyTorch

Keywords for Your Resume

Data EngineerPythonData pipelinesAudio processingML modelsLibrosaFFmpegKubernetesDockerApache SparkAirflowPyTorchData manipulationSignal ProcessingMultichannel audioImmersive audioAI research

Deal Breakers

Less than 8 years of experience, Lack of proficiency in Python, No experience with audio processing libraries, No experience with scalable pipeline tools, No relevant advanced degree

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