AI Data Engineer
Tasks
- Build churn prediction models
- Build customer segmentation models
- Build dbt models
- Build lead scoring models
- Build pipeline forecasting models
- Coach teammates on AI adoption
- Design scalable data pipelines
- Develop GTM metrics definitions
- Develop Python scripts
- Develop and deploy AI tools
- Enforce data quality standards
- Implement CI/CD pipelines
- Integrate AI into GTM workflows
- Integrate LLMs into GTM systems
- Maintain snowflake data warehouse
- Manage version control
- Measure and iterate AI systems
- Run testing and code reviews
- Write SQL transformations
Perks/Benefits
- 401(k) self contribution
- BetterUp coaching
- Company breaks
- Development plan
- Flexible paid time off
- Learning and development stipend
- Medical/Dental/Vision insurance
- Volunteer days
Skills/Tech-stack
Amazon Redshift | BigQuery | CI/CD | Claude Code | Clay | Code review | Cursor | DBT | Data Governance | Data Quality | Generative AI | GitHub | Hex | HubSpot | LLM | Looker | Marketo | Python | Reverse ETL | SQL | Salesforce | Snowflake | Testing | Version control
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Data Engineer | Analytics | Analytics Engineer | Data Engineer | Engineer
Regions
Countries
States
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