Senior Data Engineer

Quick summary

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

Who we are

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simpler, more affordable, and better for homeowners — especially in the places where climate risks, rising costs, and outdated systems make it harder.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.

Using data, technology, and thoughtful human support, we’re building products that are clear, fair, and help homeowners feel confident — so homeowners aren’t left behind when they need help most.

Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve customers in 13 states (and counting). Our disciplined growth, strong customer satisfaction, and focus on long-term sustainability fosters outstanding growth, attracts marquee investors, and earns recognition and accolades, including:

Built In Chicago's Best Places to Work, Midsize Companies (2021-2026)

Forbes' America's Best Startup Employers (2021-2024)

Inc. 5000 Fastest-Growing Private Companies

Forbes’ Fintech 50 (2025-2026)

Great Places to Work Certified (2024-2026)

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. We're excited to tell you more about how you can contribute to our rapid growth, strong unit economics, profitability, and excellent customer ratings. To learn more about how we work and what we’re building, visit kin.com and see how we work .

The opportunity

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.

You'll own the modeling layer between raw source data and the people who depend on it: analytics engineers, BI, and business stakeholders across Finance, Marketing, and Product. You'll work closely with App Engineering to understand source systems and with downstream teams to make sure what you build actually answers their questions.

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

In your first 6–12 months at Kin, success is less about checking boxes and more about the impact you create. You’ll use your skills and judgment to take ownership of meaningful work, improve how we operate, and help move Kin’s mission forward. Along the way, you’ll deliver outcomes that make a real difference for both Kinfolk and the homeowners we serve.

By the end of your first year, you should feel confident in your role, trusted as an owner, and proud of the progress you’ve helped make.

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

What you’ll bring

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

How we hire

We believe a great hiring experience should be clear, respectful, and human. We’ll accept applications for this position until October 9th, 2026. While our recruiting team uses AI tools for efficiency, resumes are still screened by Kin’s in-house recruiters, and candidate evaluations and hiring decisions are made by recruiters and hiring teams. Rest assured, real people make real decisions.

The hiring process and timeline for each role will vary, depending on the position. However, here are some things you can expect from us:

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

How we support you

We offer a comprehensive, competitive benefits program, allowing you to choose the benefits that are best for you and your family, starting on the first day of the month following your start date.

Core Benefits That Support You

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

Health & Wellbeing

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

Growth & Development

Career mobility and internal growth opportunities across the organization

Professional development budgets for certifications, conferences, and learning available, subject to management approval

How we work

We don’t just hire for skills. We hire for alignment. Kinfolk bring diverse perspectives, but we’re united by a shared set of values that shape how we work and how we show up for each other and our customers.

Run through walls, together - Every one of us is responsible for creating the culture we want to work in. High performance. Low drama. Always respectful. We assume the best in each other and challenge ideas, not intentions. We show up, work hard, and play to each other's strengths — because that’s how great teams win.

Raise the bar. Drop the ego - Attitudes are contagious. Every one of us is responsible for creating the culture we want to work in. High performance. Low drama. Always respectful. Like professional sports teams, we win by working in sync. We show up, work hard, and play to each other’s strengths.

Act like an owner - We are owners, ful