AI Data Engineer
Tasks
- Coach teammates on AI adoption and change management
- Define GTM metrics and pipeline definitions
- Design scalable data pipelines
- Develop and deploy AI lead scoring pipeline forecasting churn prediction and customer segmentation
- Develop dbt models SQL transformations and Python scripts
- Ensure reliable self serve reporting and downstream analysis
- Establish data quality standards
- Integrate AI into CRM and marketing workflows
- Integrate LLMs into GTM systems
- Maintain Snowflake data warehouse architecture
- Measure and iterate AI tool performance
Perks/Benefits
- 401(k) self contribution
- BetterUp coaching
- Company holidays observed
- Development plan
- Flexible paid time off
- Learning and development stipend
- Medical, dental, and vision insurance
- Summer and winter breaks
- Volunteer days
- Year round charitable contribution
Skills/Tech-stack
Amazon Redshift | BigQuery | CI/CD | CRM Integration | Clay | Code review | DBT | Data Governance | Data Quality | Data pipeline | Generative AI | GitHub | Hex | HubSpot | LLM | Looker | Machine Learning | Marketing Automation | 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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