Quick Summary

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.

The opportunity

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.

Your responsibilities

• Lead and develop a team of data engineers, driving execution, operational excellence, and long-term growth of the data engineering discipline
• Own the reliability, scalability, and evolution of Kin's data platform infrastructure and lakehouse environment within Databricks
• Design and optimize batch, streaming, and event-driven data pipelines using technologies such as PySpark, Databricks, SQLMesh, Kafka, and Fivetran
• Establish engineering standards for testing, observability, CI/CD, monitoring, incident response, and operational reliability across the data platform
• Define and implement governance, lineage, classification, retention, and access control patterns in partnership with Security, Legal, and Compliance teams
• Drive infrastructure-as-code and GitOps practices for platform resources using tools such as Terraform
• Partner with application engineering teams to build resilient integrations between source systems and the data platform while proactively managing schema and dependency changes
• Collaborate with analytics engineering, product, and data science stakeholders to align platform investments with business priorities and downstream data needs
• Guide the team through large-scale technical initiatives with clear prioritization, iterative delivery, and thoughtful operational tradeoff decisions
• Identify opportunities to improve engineering efficiency and platform scalability through automation, tooling improvements, and thoughtful use of AI-enabled workflows where appropriate

Success in this role

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

What you'll bring

• 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

Bonus

• 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

How we hire

We believe a great hiring experience should be clear, respectful, and human. We'll accept applications for this position until June 16, 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

How we support you

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.

Core Benefits

• Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level
• 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

Health & Wellbeing

• 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

Growth & Development

• Career mobility and internal growth opportunities across the organization
• Professional development budgets for certifications, conferences, and learning available, subject to management approval

Where we work

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.