🛠 Tech Stack

💼 About This Role

You'll design and build agentic systems that transform how data quality is measured and managed across Dun & Bradstreet's global platforms. Your core impact will be creating adaptive, decision-capable agents that reason over data quality signals and orchestrate remediation at scale. This role integrates large language models and AI services responsibly into data quality workflows.

🎯 What You'll Do

• Design and build agentic systems for data quality measurement and remediation
• Develop intelligent agents that interpret data quality signals and orchestrate workflows
• Integrate LLMs and AI services into data quality workflows
• Ensure agentic systems are observable, auditable, and compliant with enterprise risk

📋 Requirements

• Bachelor's degree in computer science or equivalent experience
• Advanced experience with SQL and Python in complex data environments
• Experience designing distributed or intelligent systems
• Solid understanding of data quality concepts and enterprise data ecosystems

✨ Nice to Have

• Experience with cloud computing technologies (preferably GCP)
• Familiarity with PowerBI or Looker dashboards
• Experience with data observability and anomaly detection

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health insurance
• 📈 401k matching
• 💻 Remote work options
• 📚 Professional development

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min