Data Engineer

Immediate need for a talented Data Engineer. This is a 06 months contract opportunity with long-term potential and is located in Redmond, WA (Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-86842

Pay Range: $70 - $80/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Design, develop, and maintain scalable data-processing pipelines for large volumes of multimedia (audio, video) and sensor data (e.g. IMU), ensuring reliability and reproducibility.
• Gather and interpret processing requirements from stakeholders, translating them into practical technical solutions and devising Client approaches where needed.
• Perform diverse data-processing operations, from mathematical transformations and filtering to feature extraction, synchronisation, and inference through ML models.
• Interface with various internal tooling at Meta such as dataset management systems and training frameworks to prepare raw data for machine learning, including validation, transformation, and quality assurance.
• Collaborate with machine learning researchers to integrate research prototypes into production pipelines.
• Ensure compliance with data governance, security, and relevant standards.

Key Requirements and Technology Experience: 

• Key skills; SQL
• Python
• ETL
• Bachelor’s degree in a relevant technical field (e.g. Computer Science, Data Science) with 3 years of industry experience in machine learning or data engineering; or equivalent combination of education and experience.
• Demonstrable programming experience in Python using common ML and data libraries, i.e. numpy, scipy, pandas.
• Proficiency in Linux and shell scripting.
• Working knowledge of audio, image and video formats.
• Experience using PyTorch or other Python machine-learning frameworks.
• Experience with relational and graph / NoSQL databases.
• Experience using REST APIs for data interactions.
• Experience working in a research environment.
• Strong mathematical background.
• Strong knowledge of Python in the context of data engineering and data processing (SQL, data cleaning, anomaly detection)
• Working understanding of ML training - specifically how data quality impacts ML training outcomes from PyTorch workflows

Our client is a leading Meta Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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