Senior Data Engineer

🕒 Setembro 14

🌐 Estados Unidos, Canadá – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇨🇦 Canadá – Remoto

🏈 Alabama, Arizona, +36 estados a mais – Remoto

🏈 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

💵 $131.950 - $153.026 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Kin Insurance

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2016

🛡️ Seguros

💸 Finanças

👥 B2C

Insurance • Finance • B2C

Onde a criatividade encontra o impacto, fazemos parcerias com marcas, organizações e inovadores para criar trabalhos ousados, transformadores e com propósito. Kin combina a liderança de pensamento de uma consultoria, a criatividade eclética de uma agência, a habilidade de uma produtora e a inovação de uma startup em uma entidade única — para benefício de nossos parceiros, e do mundo em geral. Nossos clientes incluem Intuit Mailchimp, Delta Air Lines, Uber e Ben & Jerry's.

Descrição

• 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 raw data capture and downstream modeling • Collaborate with Analytics Engineering, BI, and Finance, Marketing, and Product stakeholders to translate reporting needs into scalable datasets • Ensure data models comply with GDPR, CCPA, and GLBA through access controls and monitoring • Mentor 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 well-modeled, production-ready datasets as trusted sources of truth for reporting and decision-making

🎯 Requisitos

• 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 • Must be able to live and work full-time in one of the listed eligible U.S. states, or in Ontario for remote technical positions located in Canada

🏖️ Benefícios

• Competitive salary and company equity through Restricted Stock Units (RSUs) • 401(k) with company match up to 4% of eligible earnings • Multiple medical plan options, plus 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