Senior Data Engineer

🕒 September 14

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏈 Alabama, Arizona, +36 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $131.9k - $153k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Kin Insurance

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

🛡️ Insurance

💸 Finance

👥 B2C

Insurance • Finance • B2C

Kin Insurance is a digital insurance company that offers homeowners, landlord, condo, mobile home, high-value home, flood, and auto insurance, along with mortgage products such as home loans, refinancing, home equity loans, and HELOCs. Kin emphasizes affordable, easy online quoting and policy management, claims support, and customer service, operating directly to consumers across multiple U. S. states.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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