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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Developer - **Company:** CareerCircle - **Location:** Menlo Park, CA, United States (Remote available) - **Salary:** $166,400.0 - $187,200.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Decision Support Systems, Python (Programming Language), Power BI, Salesforce.Com, SQL Databases, Tableau (Software), Pyspark, Tools for Reporting, Claude - **Published:** October 3, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/menlo-park/9fc79e44-2ae8-4d21-9531-5ad801597ec7 ## About the Role sql, python, analytics, data science, tableau, power bi, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description Dashboard Operations Data Quality Data Science, Data Modeling Business Valuation Full Stack Development Production Engineering Business Transformation Python (Programming Language) Tableau (Business Intelligence Software), This team sits inside a production engineering and infrastructure organization that builds and operates the internal platforms and services other engineers rely on including asset inventory and network-side systems, and client platform and endpoint services. The team builds the data products, pipelines, and interfaces that make infrastructure data usable across the organization. Today these horizontal infrastructure operations areas have no dedicated data science support. This role establishes that coverage. What this person will focus on: This is a generalist, horizontal seat: someone who can be plugged into any of the team's domains and be productive quickly. The work is broad, hands-on, and customer-facing rather than narrow and specialized. Own day-to-day analytics for horizontal infrastructure operations intake, scope, and turn around analysis requests from partner teams. Build and maintain dashboards and self-serve reporting so recurring questions stop being one-off asks. Support the operational areas the team covers, including asset inventory and network-side systems and client platform and endpoint services. Provide the analytical layer for the team's own infrastructure data products and services including the shared interfaces and tooling the team builds for its users. Establish baseline metrics, data quality checks, and reporting hygiene in an area that has had no coverage. Partner closely with data engineers on data models and pipelines, flagging gaps and helping shape what gets built., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. 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