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.
Benefits
People First philosophy and supportive culture
Hybrid work arrangement (Santa Monica, CA - Hybrid)
Career growth opportunities: Advanced into senior data engineering or data architecture roles; Specialize in AI/ML engineering and MLOps; Move into analytics engineering or analytics management; Develop into a technical product manager for data and AI products
Exposure to modern AI platforms and foundational data engineering practices
Semi-monthly salary range $3,333 - $4,167 (annual $80,000 - $100,000)
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