Data Engineer

📋 Description

• Bring disparate internal and external sources together: orchestrate, model, and normalize
• Build and maintain identity and entity resolution, so every source attaches to one trusted record
• Help build the canonical layer where key attributes are defined once and mean the same thing
• Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams
• Deliver that intelligence to the surfaces where teams work, including the CRM, and bring production
• Operate what you build as a living system, with observability, data quality, cost, security, and

🎯 Requirements

• Experience as a data engineer or analytics engineer building and operating production pipelines and
• Strong SQL and Python, and experience with modern transformation and orchestration tooling on a
• Experience making messy data from many sources usable, including record matching, deduplication
• Familiarity with go-to-market data and the CRM systems it flows through
• Judgment beyond the pipeline: weighing data sources, shaping definitions with business partners
• Clear written and verbal communication with technical and non-technical partners

🎁 Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues
• Visa sponsorship (we do sponsor visas)