[Remote] Data & AI Engineer

Note: The job is a remote job and is open to candidates in USA. Arizent is a business information company that empowers professional communities by providing insights, analysis, and opportunities to connect. We are looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses data and AI across our business, building and deploying AI solutions and maintaining data pipelines.

Responsibilities

• Build and deploy agentic solutions on Google Gemini and Claude, ranging from no-code/low-code workflows to multi-agent systems built with Agent Development Kit (ADK)
• Partner with teams across Arizent to identify use cases where agents can address real business needs. In collaboration with the Data & AI team, you will develop the full lifecycle from solution mapping to building, testing, agent training, and end-user enablement
• Maintain and continuously test deployed agents to ensure reliability, accuracy, and performance over time
• Collaborate with internal stakeholders and vendors to forecast and measure the impact of agentic solutions, including cost savings, time savings, and quality improvements
• Support the Senior Manager of Data & AI in maintaining our BigQuery data warehouse following established workflows and governance practices
• Design, build, and manage ETL pipelines integrating Omeda, Salesforce, Google Analytics, and third-party services (Reach Marketing, Discovery, Bombora, and others)
• Set up and manage scheduled queries to keep dashboards and downstream systems current
• Support audience enrichment, lead and contact enrichment, and internal/external reporting workflows
• Troubleshoot site traffic tracking and data collection issues across Google Analytics, Omeda, Piano, and Salesforce to preserve data integrity
• Build alerts and monitoring dashboards that surface tracking issues before they affect reporting
• Working closely with Data & AI team leadership to develop and maintain internal and client-facing dashboards in Data Studio that give stakeholders clear views of their KPIs

Skills

• 1+ years of experience in a data engineering, analytics engineering, and/or AI/ML engineering role
• Proficiency in SQL and Python
• Hands-on experience building agentic solutions, including prompt engineering, tool/function calling, and deploying agents in production using platforms like Google Gemini, Claude, or comparable LLM ecosystems
• Experience designing and building ETL pipelines and integrating multiple data sources
• Strong working knowledge of the Google Cloud ecosystem, especially BigQuery
• Dashboarding experience with Data Studio or a comparable BI tool
• Demonstrated ability to collaborate cross-functionally and translate business needs into technical solutions
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
• Experience with Agent Development Kit (ADK) or other multi-agent orchestration frameworks
• Familiarity with Matillion or comparable ETL/ELT tooling
• Experience with Omeda, Salesforce, Piano, or similar marketing/audience platforms
• Prior experience in media, publishing, or B2B information services
• Experience designing data models and warehouse schemas from scratch

Benefits

• Medical, dental, and vision coverage
• Disability and life insurance
• Paid vacation, sick, personal, and mental health days
• Parental leave and holiday pay
• 401(k) program
• Pretax transportation benefits
• Fitness reimbursement

Company Overview