RPA Health

AI Solutions Developer / Data Engineering Analyst

RPA Health

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $80,000 - $100,000 per year

Job Level

JuniorMid-Level

Tech Stack

BigQueryCloudETLGoogle Cloud PlatformPythonSQLTableau

About the role

  • Hybrid role splitting time: 50% AI Solution Development and 50% Data Engineering & Analytics Support
  • Build custom AI agents and copilots using Microsoft 365 Copilot Studio, Agent Builder, and Power Platform
  • Create and deploy custom GPTs and AI assistants tailored to departmental needs
  • Develop automated workflows integrating AI capabilities into existing business processes
  • Design and refine prompts; document prompt patterns and best practices
  • Configure and customize pre-built AI models for document processing and content generation
  • Write and optimize SQL queries in BigQuery to support analyst requests and reporting needs
  • Maintain and troubleshoot data pipelines between BigQuery and Domo
  • Create and update Domo datasets, dataflows, and ETL processes
  • Assist analysts with complex query development and performance optimization
  • Document data transformations and maintain data dictionary for key tables
  • Monitor data quality and implement basic data validation checks
  • Schedule and automate recurring data refreshes and report generation
  • Partner with business analysts to translate data requirements into technical solutions
  • Provide hands-on support and training for AI tools and data platform users
  • Identify opportunities to enhance analytics workflows with AI capabilities
  • Create documentation bridging AI solutions with underlying data infrastructure

Requirements

  • Bachelor's degree in any field with demonstrated interest in technology, data, or AI
  • 2-4 years of experience in data analysis, IT, or technical role
  • Proficiency in SQL with experience writing complex queries (joins, CTEs, window functions)
  • Hands-on experience with at least one AI platform (ChatGPT, Claude, Copilot, Gemini)
  • Experience with business intelligence tools (Domo, Tableau, Power BI, or similar)
  • Strong problem-solving skills and ability to translate business needs into technical solutions
  • Excellent written and verbal communication skills for working with non-technical stakeholders
  • Direct experience with BigQuery and Google Cloud Platform (preferred)
  • Experience with Domo administration, Magic ETL, or Domo Workflows (preferred)
  • Microsoft Power Platform experience (Power Apps, Power Automate, Power BI) (preferred)
  • Familiarity with Copilot Studio or similar no-code AI development platforms (preferred)
  • Basic Python knowledge for data manipulation and API integrations (preferred)
  • Understanding of data warehouse concepts (dimensional modeling, slowly changing dimensions) (preferred)
  • Experience with prompt engineering techniques and LLM behavior (preferred)
  • Ability to context-switch effectively between AI development and data engineering tasks
  • Self-starter who can manage competing priorities from multiple stakeholders
  • Patience for supporting users with varying technical backgrounds
  • We are not able to offer sponsorship for this role now or in the future.
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