United States onlyAs Data Engineering Lead, you will own SuperDial's data platform end-to-end, scaling the warehouse, pipelines, and analytics workflows that power product decisions, go-to-market execution, and company-wide planning.
Requirements
- 2+ years of experience in Analytics Engineering, Data Engineering, or BI Engineering roles
- Deep hands-on experience with dbt, especially incremental models, and modern analytics engineering workflows
- Very strong SQL skills and a track record of designing durable data models
- Prior ownership of a production data warehouse in a scaling environment
- Experience managing data pipelines, orchestration, and workflow dependencies
- Proficiency with Python and orchestration tools such as Airflow or similar
- Familiarity with cloud data platforms and infrastructure, and NoSQL databases (like Google Cloud Firestore, Mongo, etc.)
- Experience working with high-performance or specialized data systems (e.g., ClickHouse or similar) is a plus
- Strong ownership mindset with comfort driving ambiguous initiatives end-to-end
- Clear communication skills and ability to partner with technical and non-technical stakeholders
Benefits
- Competitive compensation
- Meaningful equity
- Opportunity to shape and grow the data function over time
