Data Engineer IV

New

itDData Engineering

Remote (Candidates must be located within the Pacific Time Zone.), Pacific Time ZoneContractSenior

Salary not disclosed

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Job Details

Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related technical field.
8+ years of experience in data engineering or a related technical discipline.
Experience designing and building end-to-end data pipelines from scratch using AWS.
Experience developing and maintaining large-scale ETL processes and enterprise data solutions.
Experience transforming raw data into structured, analytics-ready data models and tables.
Strong analytical skills with experience solving complex data engineering challenges.
Experience collaborating with data architects, software engineers, and cross-functional technical teams.
Excellent written, verbal, and presentation communication skills.

Design, develop, and maintain end-to-end data pipelines and scalable data architectures using AWS technologies.
Build and optimize ETL processes that transform raw data into structured, analytics-ready datasets.
Design, implement, automate, and support enterprise-scale data management systems that meet business and engineering requirements.
Partner with AI infrastructure engineers, data architects, and cross-functional stakeholders to improve data reliability, scalability, and operational efficiency.
Develop high-performance data processing solutions, prototypes, and proof-of-concept implementations to support infrastructure initiatives.
Manage data engineering projects through the full development lifecycle, from requirements gathering to deployment and ongoing optimization.
Identify opportunities to improve existing data processes, enhance system performance, and implement engineering best practices.

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