> Markdown version of [/jobs/ext/3962868-senior-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3962868-senior-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analytics Engineer - **Company:** Prefect, LLC - **Location:** Los Angeles, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $154,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Customer Data Management, Python (Programming Language), Open Source Technology, Standard Sql, Salesforce.Com, SQL Databases, Data Management, Hubspot, Looker Analytics, Software Version Control - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-analytics-engineer-los-angeles-ca--8b6917eb-2755-4d69-b708-35cdb46a8e43 ## About the Role Automation, Data Management, Artificial Intelligence (AI) Agents, Vehicle Fleets, MCP - Microsoft Certified Professional, Ecosystems, Open Source, Fortune 500 Customers, High Tech Industry, Operating Systems, Must have * Four or more years building analytics models in dbt on a cloud warehouse, owned in production with tests, CI, and version control. * Strong SQL, plus enough Python for the parts SQL is bad at: API pulls, spend data, one-off enrichment. * Experience building and maintaining a semantic layer in Omni, Looker, or something comparable. We care that you have modeled metrics for other people to use, not that you have built dashboards. * Direct work with go-to-market teams on funnel conversion, attribution, and unit economics like CAC, payback, and ROI, using real CRM data from Salesforce or HubSpot. * Prior knowledge of GTM systems like Salesforce, Amplitude, Segment, Hubspot. * A product-led or self-serve business: activation, trial conversion, PQLs, usage-based revenue. * A background in engineering or data, meaning you write code, read other peoples code, and deploy your own work. * Comfort with AI-native development.