[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