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Senior Data Engineer
Kin Insurance
Saint Petersburg, IL
Category
Engineering
Apply for Job
Remote
Job Description
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
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