Data Engineering Manager

Lead the evolution of Kin’s modern data platform—owning scalable pipelines, reliable lakehouse infrastructure, and the systems that power analytics, AI, and operational decision-making across the business.

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simpler, more affordable, and better for homeowners — especially in the places where climate risks, rising costs, and outdated systems make it harder.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 14 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.

We’re looking for a Data Engineering Manager to help scale the data platform that powers Kin’s analytics, operational decision-making, and machine learning capabilities. This role sits at the center of how data moves through the company—ensuring teams across engineering, product, analytics, and data science can trust and use data reliably at scale.

As Kin continues to grow, the complexity and importance of our data ecosystem is growing with it. You’ll lead the evolution of our lakehouse architecture, ingestion pipelines, governance tooling, and platform reliability practices while managing and developing a team of data engineers. This is an opportunity to shape the long-term direction of data engineering at a company where data is deeply connected to customer experience, operational efficiency, and business performance.

You’ll work closely with analytics engineering, data science, application engineering, security, and compliance partners to create scalable systems and operational patterns that make trusted data accessible across the organization.

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  Lead and develop a team of data engineers, driving execution, operational excellence, and long-term growth of the data engineering discipline

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  Own the reliability, scalability, and evolution of Kin’s data platform infrastructure and lakehouse environment within Databricks

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  Design and optimize batch, streaming, and event-driven data pipelines using technologies such as PySpark, Databricks, SQLMesh, Kafka, and Fivetran

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  Establish engineering standards for testing, observability, CI/CD, monitoring, incident response, and operational reliability across the data platform

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  Define and implement governance, lineage, classification, retention, and access control patterns in partnership with Security, Legal, and Compliance teams

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  Drive infrastructure-as-code and GitOps practices for platform resources using tools such as Terraform

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  Partner with application engineering teams to build resilient integrations between source systems and the data platform while proactively managing schema and dependency changes

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  Collaborate with analytics engineering, product, and data science stakeholders to align platform investments with business priorities and downstream data needs

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  Guide the team through large-scale technical initiatives with clear prioritization, iterative delivery, and thoughtful operational tradeoff decisions

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  Identify opportunities to improve engineering efficiency and platform scalability through automation, tooling improvements, and thoughtful use of AI-enabled workflows where appropriate

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.

• The data platform is more reliable, scalable, and easier for stakeholders across the business to use confidently

• Data pipelines are observable, well-tested, and consistently meeting freshness, performance, and reliability expectations

• Cross-functional teams across analytics, product, and data science are able to move faster because trusted data is more accessible and dependable

• The Data Engineering team is operating with clear ownership, strong operational rigor, and high engagement while delivering meaningful platform improvements

• 6–8+ years of experience in data engineering, platform engineering, or infrastructure-focused data roles, including experience managing and developing data engineering teams

• Hands-on experience building and operating modern data platforms using technologies such as Databricks, Snowflake, BigQuery, or similar lakehouse and warehouse ecosystems

• Experience designing and maintaining scalable batch, streaming, and event-driven data pipelines using tools such as PySpark, SQLMesh, Kafka, Fivetran, or Databricks Jobs

• Experience implementing CI/CD, automated testing, monitoring, and observability practices for data infrastructure and pipelines

• Experience defining and implementing data governance, privacy, classification, retention, and access control frameworks in regulated or compliance-sensitive environments

• Proficiency with Python and PySpark for large-scale data engineering use cases

• Experience managing infrastructure-as-code and GitOps workflows using tools such as Terraform

• Ability to partner effectively across technical and non-technical teams while navigating ambiguity, operational tradeoffs, and competing priorities

• Experience leading teams through complex platform migrations, architectural evolution, or operational scaling initiatives

• Exposure to AI/ML workflows, predictive analytics systems, or MLOps integration patterns

• Experience operating in organizations where data engineering and analytics engineering are distinct but closely aligned functions

We believe a great hiring experience should be clear, respectful, and human. We’ll accept applications for this position until May 30,2026. 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

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.

• 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

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 - Our industry is stuck in the status quo. But Kin is different. We are challengers. Innovators unwavering in our mission to fix insurance for those who need it most. We are changing insurance for good. We roll up our sleeves, take action, and get “impossible” things done every day with grit and teamwork.

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, fully accountable for achieving Kin’s mission. That requires positive, proactive, big-picture thinking well beyond our job descriptions. Ask questions, Take ownership. Do the right thing, even when it‘s hard. Because when Kin thrives, so do you. And so do our customers.

Operate lean. Deliver more - We build efficiency into everything we do. Each dollar we save gets reinvested to deliver more to our customers: better pricing, more products, and new innovations. We work smarter by relentlessly prioritizing and using technology, including AI, to multiply our impact. Lean is about focus, not deprivation. Lean isn't a limitation – it's our competitive advantage.

Keep asking ‘What if?’ - We value curiosity. To make insurance better for our customers, we experiment. We embrace insights. And we base decisions on data rather than assumptions. We see setbacks as opportunities for growth and are always learning and improving. Both individually and as a company.

We are a remote-first company with offices in Chicago, IL and St. Petersburg, FL where teams can come together for collaboration.

For Sales Agents and Customer Service Agents: These roles sit in any of the following 30 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, and WI.

For all other positions, these roles can sit in any of the following 40 states: AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, and WI. Please only apply if you are able to live and work full-time in one of the states listed above.

For remote technical positions located in Canada, we are only able to hire individuals who reside in Ontario. Applicants must be able to live and work full-time in Ontario to be considered.

State locations and specifics are subject to change as our hiring requirements shift.

Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Kin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation, please contact us by sending an email to careers@kin.com