Qualtrics
US - Washington - Seattle
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Design and build scalable backend services and data pipelines to power the end-to-end ML lifecycle within AWS SageMaker Unified Studio. Own feature delivery from ideation to deployment while mentoring junior engineers and maintaining high availability SLOs.
Requirements: Requires 4+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field. Candidates must have strong SQL proficiency and deep expertise in data engineering principles and large-scale dataset processing.
Key Skills: SQL, Python, Java, TypeScript, Go, AWS SageMaker, AWS CDK, Data Modeling, ETL/ELT, Distributed Systems, Data Pipelines, Schema Design, AWS DataZone, AWS Lake Formation, Unit Testing, Code Reviews
Benefits: Annual Experience Bonus, Global Wellness Benefit, Quarterly team offsite events, Medical insurance, Dental insurance, Vision insurance, Life insurance, 401k with match, Paid time off, Mental health benefits, Free lunches and snacks
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