Data Engineer at Atonom in Provo, UT

Summary: Atonom is a company that builds intelligent AI agents to enhance business processes across various departments. They are seeking a Data Engineer to work alongside senior team members in configuring, deploying, and optimizing AI Cloud Employees for clients while learning and contributing to data integration projects. Responsibilities: - Build and maintain data integrations that power AI Cloud Employees for customers, connecting systems, mapping fields, and helping ensure data quality - Join client calls to understand data environments, source systems, and business requirements, then help translate them into working data flows - Troubleshoot data pipeline and integration issues with support from senior engineers. Trace data through systems and work toward solutions - Document data architectures, integration patterns, and technical playbooks for the implementation team - Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points Required Qualifications: - Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field - Self-taught candidates with relevant projects are also welcome - Comfortable getting into the weeds with data - You've written queries, worked with APIs, or built something that involved moving data from one place to another - Interested in LLMs and prompt engineering - A clear communicator who can explain data workflows and technical decisions to both engineers and non-technical clients - Self-directed and low-ego - You ask good questions, take feedback well, and move fast in ambiguous situations Preferred Qualifications: - Exposure to workflow automation tools (Zapier, Make, or similar) - Basic understanding of APIs, webhooks, or data integrations - Familiarity with SQL, Python, or JavaScript - Experience with CRMs like Salesforce or HubSpot - Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional) Required Skills: Data integration, Data quality, Data pipeline troubleshooting, Data architecture documentation, API, SQL, Python, JavaScript, Workflow automation tools, CRM systems, LLMs, Prompt engineering, Self-direction, Feedback receptiveness Benefits: PTO accrual starts on day one., Competitive health benefits package., Paid holidays and company events.