Data Engineering Manager

Kin Insurance

13d•Remote

About The Position

Lead a team of data engineers building scalable pipelines and platforms that power analytics, data science, and business decisions across Kin. 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simpler, more affordable, and better for homeowners — especially in the places where climate risks, rising costs, and outdated systems make it harder.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 Data Engineering Manager to lead and evolve the systems that power data across Kin. This role exists to strengthen the foundation that enables Business Intelligence, Data Science, and Machine Learning teams to move faster, make better decisions, and deliver meaningful impact to our customers. You’ll lead a team of data engineers responsible for building reliable, scalable, and well-governed data systems. At a moment of continued growth and increasing data complexity, you’ll help define how we scale our data platform while balancing immediate business needs with long-term technical investments.

Requirements

Experience leading and managing a data engineering team, ideally in a high-growth or startup environment
Hands-on expertise with modern data platforms such as Snowflake and/or Databricks
Experience building and maintaining data pipelines using tools like DBT, Airflow, DMS, or Airbyte
Familiarity with streaming data technologies such as Kafka or Flink
Strong background in large-scale data architecture and data modeling
Experience implementing engineering best practices including CI/CD, automated testing, and monitoring
Proficiency in Python for data engineering use cases

Nice To Haves

Exposure to AI/ML workflows or predictive analytics
Experience with infrastructure as code tools such as Terraform

Responsibilities

Lead and manage a team of ~6 data engineers, driving execution, performance, and career development
Own Kin’s data platform, including ingestion, storage, transformation, pipeline orchestration, and governance
Define and execute on a Data Engineering strategy that supports analytics, data science, and product use cases
Build and optimize scalable data pipelines and architectures using tools like Snowflake, Databricks, DBT, and Airflow
Partner closely with Engineering, Product, BI, and Data Science to deliver high-impact data solutions
Establish best practices for data reliability, testing, CI/CD, and observability across pipelines
Guide the team through large, complex initiatives with iterative delivery and clear prioritization
Drive improvements in data quality, accessibility, and documentation across the organization
Foster a culture of ownership, accountability, and continuous improvement within the team

Benefits

Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package
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
Employee referral bonuses
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