About the role

Senior Data Engineer building scalable lakehouse pipelines and trusted datasets for Kin’s homeowners insurance platform. Enforcing data quality, security, and reporting standards across the organization.

Responsibilities

Design and build scalable, production-grade data pipelines and data models for downstream analytics and enterprise reporting
Implement and enforce data validation, testing, and QA standards across data models
Partner with App Engineering to understand source systems and define downstream data capture and modeling
Collaborate with Analytics Engineering, BI, Finance, Marketing, Product, and other business stakeholders
Translate ambiguous reporting needs into scalable, well-modeled datasets
Ensure data models comply with GDPR, CCPA, GLBA, and other data security and privacy requirements through access controls and monitoring
Mentor other data engineers on modeling best practices, documentation, and data processing patterns
Use AI-assisted development tools to improve engineering efficiency, code quality, and observability
Deliver production-ready datasets that become trusted sources of truth for reporting and decision-making
Improve data quality and stakeholder trust through consistent validation and QA standards

4+ years of experience in data engineering, analytics engineering, or dimensional modeling roles, building production data models
Advanced SQL skills
Experience transforming data from multiple sources into a scalable warehouse or lakehouse
Proficiency in Python, including Pandas and NumPy
Expertise in dimensional modeling, ELT workflows, and modern data architecture patterns
Proven ability to model raw, complex data into well-structured, analytics-ready datasets
Experience with Databricks, Snowflake, or Redshift
Ability to translate ambiguous business requirements into scalable, well-modeled datasets
Excellent written and verbal communication skills
Ability to explain complex technical concepts to non-technical stakeholders
Ability to live and work full-time in one of Kin’s listed states, or Ontario for eligible remote technical positions in Canada

Company equity through Restricted Stock Units (RSUs)
401(k) with company match up to 4% of eligible earnings
Multiple medical plan options
Dental and vision coverage
Company-funded HSA contributions
Company-paid life insurance and short-term disability
Supplemental long-term disability, critical illness, accident, legal, and pet insurance
Mental health support and confidential counseling resources
Flexible PTO for exempt employees (most employees take 15–20 days per year)
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
Professional development budgets for certifications, conferences, and learning, subject to management approval
Remote-first work environment
Global/remote collaboration with offices available in Chicago and St. Petersburg