Senior Data Engineer

We are seeking a Senior Data Engineer to join our team in building a modern, scalable lakehouse architecture that powers trusted, enterprise-grade reporting across Kin. As we continue to grow, the quality, integrity, and accessibility of our data are critical to how we price intelligently, serve customers seamlessly, and operate efficiently in a regulated industry.

Requirements

• Design and build scalable, production-grade data pipelines and data models to power downstream analytics and enterprise reporting
• Lead the migration from a Redshift/DBT warehouse architecture to a modern lakehouse architecture (e.g., S3, Glue, Databricks, Unity Catalog)
• Implement and enforce data validation standards, QA standards, and effective data lifecycle management
• Optimize pipeline performance, cost, and data quality in a large-scale cloud data environment
• Ensure compliance with data security and privacy regulations (e.g., GDPR, CCPA, GLBA) through robust pipeline design, access controls, and monitoring
• Collaborate cross-functionally with App Engineering, BI, and business teams to translate ambiguous requirements into scalable, well-modeled datasets
• Mentor data engineers and promote best practices in software engineering, documentation, and distributed data processing
• Leverage AI-assisted development tools where appropriate to improve engineering efficiency, code quality, and observability

Benefits

• Competitive salary
• Company equity through Restricted Stock Units (RSUs)
• 401(k) with company match
• Multiple medical plan options, plus dental and vision coverage
• Company-funded HSA contributions (based on medical plan selection)
• Company-paid life insurance and short-term disability
• A variety of supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance
• Access to mental health support and confidential counseling resources
• Flexible PTO for exempt employees (most employees take 15–20 days per year), plus 8 company-observed holidays
• Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents
• Career mobility and internal growth opportunities across the organization
• Professional development budgets for certifications, conferences, and learning available, subject to management approval