Kin Insurance is hiring a
Engineering Manager, Data

Summary

The job is for an Engineering Manager in Data Engineering at Kin, a fast-changing home insurance company that values its employees. The role involves leading a team of data engineers, managing data ingestion, storage, pipeline management, mastering, and governance/compliance. The ideal candidate has experience leading and managing a data engineering team in a startup environment, knowledge of data stacks like Snowflake and Databricks, and expertise in data pipeline tools like DBT, Airflow, DMS, and Airbyte.

Requirements

• Experience leading and managing a data engineering team in a startup environment
• Proven track record of modern engineering practices including CI/CD, automated testing, and iterative development
• Expertise in data stacks like Snowflake and Databricks
• Knowledge of data pipeline tools like DBT, Airflow, DMS, and Airbyte
• Knowledge of data stream tools like Kafka or Flink
• Hands-on experience in large-scale and complex data solutions development projects (we generally use Python for data engineering)
• Experience with enterprise data modeling

Responsibilities

Lead and manage the Data Engineering team at Kin, owning data ingestion, data storage, data pipeline management, data mastering, and data governance/compliance

Preferred Qualifications

• Exposure to AI/ML and predictive analytics
• Experience with infrastructure as code solutions like Terraform

Benefits

• Medical, Dental, Vision, Disability and Life Insurance
• Flexible PTO policy
• Remote work
• Generous equity package
• 401K with company match
• Parental leave
• Continuing education and professional development
• The excitement of joining a high-growth Insurtech company and seeing your work make an impact