Senior Data Engineer

Responsibilities

• Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive.
• Own the Integrations: Implement new connections and be the master and owner of these integrations.
• Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure.
• Develop Monitoring Systems: Create and support robust models for monitoring.
• Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.
• Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential.
• Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions
• In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding.
• Growth Opportunities: Access continuous professional development and growth support.
• Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences.

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