Staff Data Engineer jobs in United States
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The Walt Disney Company · 2 hours ago

Staff Data Engineer

The Walt Disney Company is seeking an experienced Data Engineer for the Skywalker Sound Development Group, specializing in the creation and optimization of data pipelines for AI/ML research. This role involves developing robust pipelines to support immersive audio applications and collaborating with researchers to improve data functionality.

Amusement Park and ArcadeAnimationConsumer GoodsDigital MediaE-CommerceMedia and EntertainmentMulti-level MarketingPerforming ArtsResorts
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H1B Sponsor Likelynote

Responsibilities

Design, implement, and maintain scalable, automated data pipelines for the ingestion, preprocessing, and transformation of large-scale audio datasets
Ensure pipelines support efficient model training and retraining workflows, enabling continuous improvement of AI/ML models
Collaborate with AI/ML researchers to define data requirements and integrate feedback to improve data pipeline functionality
Develop advanced preprocessing techniques for immersive and multichannel audio formats (e.g., Dolby Atmos, high-order ambisonics)
Automate data cleaning, normalization, and augmentation processes to prepare datasets for various model architectures, including foundational models and transformers
Integrate external datasets and APIs while ensuring compliance with legal and ethical data usage standards
Monitor and optimize pipeline performance to handle complex and dynamic data structures effectively
Create tools and workflows for annotating, labeling, and curating datasets, including the use of active learning methods
Perform exploratory data analysis to uncover trends, validate dataset quality, and identify data gaps

Qualification

Data EngineeringPythonAudio ProcessingData PipelinesMachine LearningCloud PlatformsData ManipulationExploratory Data AnalysisProblem-SolvingCollaboration

Required

Master's Degree with preference for PhD in Data Engineering/Science, Computer Science, Signal Processing, or a related field
8+ years of experience in data engineering or data science with a focus on building pipelines for AI/ML applications
Proficiency in Python, with expertise in data manipulation libraries such as Pandas, NumPy, and PyTorch's data utilities
Hands-on experience with audio processing libraries and tools (e.g., Librosa, FFmpeg, SoX) for handling complex audio formats
Familiarity with scalable pipeline tools like GitLab, Apache Spark, Airflow, or Luigi, and experience with containerized workflows (Docker, Kubernetes)
Strong understanding of data pipeline requirements for model training, retraining, and evaluation in iterative research workflows
Experience with immersive and multichannel audio formats
Knowledge of cloud-based platforms and tools for storage and processing, such as AWS S3, Redshift, or Google BigQuery
Strong problem-solving skills, with a proactive mindset for addressing evolving data challenges

Preferred

Experience integrating data pipelines with AI/ML workflows, including active learning and model retraining
Familiarity with audio-specific datasets and metadata management strategies
Knowledge of machine learning principles and how data quality impacts model performance
Experience with distributed training pipelines and large-scale dataset processing
Contributions to open-source projects or published research in the fields of data science or audio processing
Experience with visualization tools (e.g., Tableau, Matplotlib) for quality assurance and exploratory data analysis
Expertise in designing systems to support AI/ML model monitoring and retraining over time

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits

Company

The Walt Disney Company

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The Walt Disney Company started as a cartoon studio and evolves into sports coverage and television shows.

H1B Sponsorship

The Walt Disney Company has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (63)
2023 (96)
2022 (130)
2021 (30)
2020 (40)

Funding

Current Stage
Public Company
Total Funding
$11B
Key Investors
Citibank
2020-04-13Post Ipo Debt· $5B
2020-03-20Post Ipo Debt· $6B
1978-01-06IPO

Leadership Team

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Robert Iger
CEO
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Christine M. McCarthy
Senior Executive Vice President & Chief Financial Officer
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Company data provided by crunchbase