Senior Data Engineer, Kin Insurance
$131.9-153k
+ Equity
Personalized home insurance platform
Open for applications
Personalized home insurance platform
501-1000 employees
Open for applications
$131.9-153k
+ Equity
501-1000 employees
Company mission
To reimagine home insurance for every new normal.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Application process
- Deadline to Apply October 9, 2026 at 6:00 AM GMT+1
- 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
Our take
The setup process for home insurance can be difficult and time-consuming, particularly for complex and risky properties. Legacy insurance providers rely on users and brokers to insert uniform data, an approach that is not very accurate considering the idiosyncrasies of each individual property.
Kin Insurance works directly with consumers to provide bespoke and affordable home insurance. The company's software imports thousands of variables based on third-party data in order to provide a more personalized approach to home insurance. Data is also collected from aerial and satellite imagery, government records, and building permits to ensure a house is covered from localized threats such as wildfire, hurricanes and other natural disasters.
Recognizing the antiquated and one-size-fits-all nature of the current home insurance landscape, Kin Insurance has taken an innovative approach by focusing on data collection. Through these means, the company claims that it can offer personalized insurance that can be negotiated directly through its communication channels, ensuring that consumers can access the exact insurance they need without having to pay more than is required. Strong funding, raised across several rounds, will allow Kin to expand its network and business reach.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 12 rounds)
Sep 2025
$50m
SERIES E
Feb 2024
$15m
SERIES D
Total funding: $376m
Company benefits
- Medical
- Dental
- Vision
- Life insurance
- Disability insurance
- Commuter benefit plan
- 401k
- Flex spending accounts
- Support for continuing education and professional development
- Training, development, and networking opportunities via Sales Assembly
- Flexible PTO
- Onsite gym membership
- Company-provided lunch each month
- Daily snacks
- Sodas, unlimited flavored water, & coffee
Company HQ
River North, Chicago, IL
Leadership
Sean Harper
(Co-Founder & CEO)Sean worked as a BCG Associate for 5 years before founding FeeFighters.com and working for 2 years at Groupon. After a year as CPO of 2Checkout, they co-founded Kin Insurance, serving since as CEO.
Lucas Ward
(Co-Founder & Member of the Board of Directors)Having studied at Southeast Missouri State University, Lucas spent half a decade at Accenture, before a combined 3 years at ThoughtWorks and Fundspire. They left their CTO position at Rippleshot in 2015 to co-found Kin Insurance in January 2016.
Vivek Vaid
(CTO)Previously CTO at BRANDED, FourKites, Chief Data Officer at Uptake and Head of Technology at Morningstar.
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