Related skills
snowflake python databricks dbt airflow📋 Description
- Lead and manage a data engineering team (~6 engineers)
- Own Kin’s data platform: ingestion, storage, governance
- Define and execute a data engineering strategy
- Build and optimize data pipelines with Snowflake, Databricks, DBT, Airflow
- Partner with Eng, Product, BI, and Data Science
- Establish data reliability, CI/CD, observability
🎯 Requirements
- Experience leading a data engineering team in a high-growth startup
- Hands-on with data platforms like Snowflake and Databricks
- Experience building pipelines with DBT, Airflow, DMS, or Airbyte
- Familiar with streaming tech such as Kafka or Flink
- Experience with CI/CD, automated testing, and monitoring
- Proficiency in Python for data engineering
🎁 Benefits
- Competitive salary and RSUs as part of package
- 401(k) with company match up to 4%
- Medical, dental, and vision coverage
- Company-funded HSA contributions
- Flexible PTO and 8 holidays per year
- Paid parental leave (14 weeks birthing, 8 weeks non-birthing)
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