``` Position: Data Engineer II Location: Cupertino, California Duration: Contract Job ID: 168660 Job Overview: We are seeking a skilled and motivated Data Engineer II to join our team. The ideal candidate will design, build, and maintain scalable data pipelines for processing large-scale audio and acoustic datasets. This role involves close collaboration with machine learning researchers and acoustic scientists to ensure high-quality data workflows and infrastructure. The position also includes responsibilities for implementing signal processing algorithms, supporting model training, and deploying cloud-based solutions. Responsibilities: • Design, build, and maintain scalable and efficient data pipelines for processing large-scale audio and acoustic datasets. • Collaborate with ML researchers and acoustic scientists to collect, annotate, transform, and curate high-quality training and evaluation datasets. • Implement signal processing algorithms for feature extraction. • Work on real-time and batch processing frameworks for streaming and static audio data. • Support model training and evaluation through optimized data loaders and preprocessing steps. • Ensure data quality, versioning, and reproducibility using best practices in data engineering. • Deploy and maintain cloud-based infrastructure for data workflows (e.g., AWS, GCP, Azure). • Develop tools for data visualization and annotation specific to acoustic events. Qualifications: • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Acoustics, or a related field. • Strong experience with audio signal processing libraries (e.g., Librosa, PyDub, SciPy, torchaudio). • Proficient in Python and relevant data engineering frameworks (e.g., Airflow, Apache Beam, Spark). • Experience working with large-scale data pipelines and cloud infrastructure. • Familiarity with machine learning workflows, especially in audio or time-series domains. • Understanding of acoustic features and formats (e.g., WAV, FLAC, sampling rates). • Strong knowledge of databases, data storage formats (e.g., Parquet, HDF5), and data management tools. Preferred Qualifications: • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for audio modeling. • Knowledge of acoustic modeling, speech recognition, or sound classification. • Experience with edge deployment and real-time audio processing. • Familiarity with tools like Weights & Biases, MLflow, or DVC for ML operations. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: • Pay any fee to be considered for, submitted to, or selected for any opportunity. • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $59 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. ```