[Hiring] Senior Data Engineer @Kin Insurance

Role Description

Build Kin’s next-generation lakehouse architecture, design scalable pipelines, and ensure trusted, secure data for enterprise reporting in a fast-growing insurtech.

We're looking for a Senior Data Engineer to turn raw, complex data into trusted, well-modeled datasets that power reporting and decision-making across Kin. As we grow, the accuracy and structure of the data underneath our reporting matters more every quarter — teams can only move as fast as the data they're standing on.

Your responsibilities:

• Design and build scalable, production-grade data pipelines and data models to power downstream analytics and enterprise reporting.
• Implement and enforce data validation, testing, and QA standards across data models to ensure accuracy and reliability.
• Partner with App Engineering to understand source systems and define how raw data should be captured and modeled downstream.
• Collaborate with Analytics Engineering, BI, and business stakeholders to translate ambiguous reporting needs into scalable, well-modeled datasets.
• Ensure data models comply with data security and privacy regulations (e.g., GDPR, CCPA, GLBA) through access controls and monitoring.
• Mentor other data engineers on modeling best practices, documentation, and data processing patterns.
• Leverage AI-assisted development tools where appropriate to improve engineering efficiency, code quality, and observability.

Success in this role:

• Well-modeled, production-ready datasets are the default source of truth for reporting, cutting down on one-off requests and rework.
• Data validation and QA standards are consistently applied, resulting in measurable improvements in data quality and stakeholder trust.
• Cross-functional partners rely on your models to make faster, better-informed decisions.

Qualifications

• 4+ years of experience in data engineering, analytics engineering, or dimensional modeling roles, building production data models.
• Advanced SQL skills, with experience transforming data from multiple sources into a scalable warehouse or lakehouse.
• Proficiency in Python (Pandas, NumPy, etc.) for data transformation and pipeline development.
• 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 working with platforms such as Databricks, Snowflake, or Redshift.
• Ability to translate ambiguous business requirements into scalable, well-modeled datasets.
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Requirements

We believe a great hiring experience should be clear, respectful, and human. We’ll accept applications for this position until October 9th, 2026.

• Prompt updates and feedback following interviews.
• Interviews with recruiters, hiring managers, and members of teams.
• Skills assessment relevant to the position, if applicable.
• Genuine, thoughtful human interaction at every step.

Benefits

• Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level.
• 401(k) with company match up to 4% of eligible earnings.
• 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.

Company Description

Kin makes life simpler, more affordable, and better for homeowners — especially in the places where climate risks, rising costs, and outdated systems make it harder. We start with smarter homeowners insurance and expand to everything homeowners need to thrive.

Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve customers in 13 states (and counting).

Most importantly, we’re building Kin to be a place where people do meaningful work with real impact — for our customers, our communities, and each other.