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See allAbout the Opportunity:
- We are an AI-first engineering team using agents across design, implementation, review, and testing.
- We adopt new tools and processes quickly and drop what isn’t working.
You Will:
- Design and build reliable data pipelines that process large volumes of customer warehouse data.
- Build and run ML operations infrastructure from training to production.
- Own data quality and data modeling to ensure accuracy and trustworthiness.
You Have:
- 5+ years of data engineering experience, including at an early-stage startup.
- Deep experience with production data pipelines and orchestration tools like Dagster, Airflow, or Temporal.
- Hands-on ML operations experience and strong data modeling skills.
What We Offer:
- Equity, medical, dental, and vision benefits, 401(k) retirement program.
- Paid time off, paid parental leave, and home office stipend.
- The latest AI tools and freedom to try new ones.
Keebo
Keebo automatically optimizes cloud data warehouses for Snowflake and Databricks to control compute costs without hurting query performance. The company is venture-backed, built on years of database and ML research, and operates fully remotely.