So, what’s the role?

We are looking for a passionate and hands-on engineering manager to lead our Data Engineering team. You should be comfortable working with geographically distributed teams and understand the nuances of being a team player. In this role, you will be responsible for leading a team of data engineers to deliver data solutions, while relentlessly improving performance, scalability, and maintainability.

A day in the life could include: 

• Lead and manage the Data Engineering team at Kin, owning data ingestion, data storage, data pipeline management, data mastering, and data governance/compliance
• Maintain high-trust relationships with Engineering, Product, and internal business partners
• Outline and execute on a Data Engineering strategy, balancing immediate business objectives with long-term engineering goals
• Guide the team when iteratively navigating through large engineering initiatives
• Promote a culture that values ownership of outcomes

I’ve got the skills… but do I have the necessary ones?

• 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 Redshift, Snowflake, and Databricks
• Knowledge of data pipeline tools like DBT, Airflow, DMS, and Fivetran
• Knowledge of data stream tools like Kafka or Flink
• Hands-on experience in large-scale and complex data solutions development projects
• Experience with enterprise data modeling

Bonus Points:

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

Oh, and don’t worry, we’ve got you covered! 

• 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