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Position: Lead Data Engineer
Institution: The Boeing Company
Location: Seattle, Washington, United States
Duties: Work with big data applications to develop data pipelines in support of organizational analytics objectives. Pipelines will be used as the basis for productionizing and deploying solutions to end-users; Work in cloud data environments such as Azure or GCP preparing data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data; Modifies and analyzes data sets using analytics techniques to identifies modeling attributes and parameters. Applies algorithms to create descriptive, or predictive models to achieve project deliverables
Requirements: Bachelor’s of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science or engineering; 5+ years of experience in SQL; 5+ years of experience in Python; 3+ years of experience building data pipelines; 3+ years of experience in cloud technology (preferably Azure or GCP)
   
Text: Lead Data Engineer Work with big data applications to develop data pipelines in support of organizational analytics objectives. Pipelines will be used as the basis for productionizing and deploying solutions to end-users; Work in cloud data environments such as Azure or GCP preparing data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data; Modifies and analyzes data sets using analytics techniques to identifies modeling attributes and parameters. Applies algorithms to create descriptive, or predictive models to achieve project deliverables Bachelor’s of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science or engineering; 5+ years of experience in SQL; 5+ years of experience in Python; 3+ years of experience building data pipelines; 3+ years of experience in cloud technology (preferably Azure or GCP)
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