As a Staff Data Engineer, you will design, build, and maintain scalable data models, curated reporting tables, and forecasts that support the organization. You will lead the design and implementation of mission-critical data pipelines and robust infrastructure, advancing data security, governance, and architectural standards.
Requirements
- 8+ years of work experience working as a Data Engineer with B2B sales, marketing, or finance data
- Advanced knowledge of Python and SQL
- Experience with Github workflows and PySpark knowledge
- Ability to find and troubleshoot root cause data issues with minimal outside guidance
- Production Excellence: experience building scalable and productionizable data models
- AI Readiness: ability to structure data models and tables that are optimized for AI readiness
- Business Partnership: ability to understand how the business works and create innovative solutions for business problems
- Collaborative Leadership: ability to excel in collaborative environments and possess a service-oriented mindset
Benefits
- Paid Time Off
- 401k Matching
- Retirement Plan
- Annual performance bonus
- Equity