Kin Community

Staff Analytics Engineer

Remote (United States) · Staff+ · Full-time

Sponsorship not specifiedDetected 27 days ago

PythonGitDatabricksRESTdbtData EngineeringData VisualizationCustomer SupportAPI TestingAR/VRLeadershipCommunicationMentoring

About the role

We're looking for a Staff Analytics Engineer to be the technical anchor of one of Kin's analytics engineering teams - the person who makes your team's slice of our shared data model correct, durable, and trusted.
Within the Data Engineering organization, Analytics Engineering turns raw, domain-owned data into a shared, trusted semantic model of the business.
Understanding the business is part of the craft here, not someone else's job.

Responsibilities

Act as a technical thought partner to the product and business leaders your team supports: understand their goals deeply and translate ambiguous or conflicting business needs into clear, durable technical plans
Define the modeling patterns, naming conventions, and reference implementations your team builds on, and contribute them back to the discipline's shared standards
Drive data-as-a-product expectations within your team's scope - ownership, contracts, documentation, and reliability for what your team owns
Partner with domain data engineers to shape the data contracts and pipelines that feed clean, well-defined ontology objects, and surface upstream issues that degrade your team's models
Raise the technical bar through model and design review, pairing, mentorship, and contributions to hiring and onboarding
Set your team's patterns for applying Claude and Claude Code to analytics engineering work, and design the ontology and semantic layer to be AI-consumable so tools like Databricks Genie can reason over your team's data reliably
The hardest modeling problems in your team's scope are solved durably - your team's ontology objects and presentation-layer models are stable, documented, and trusted by the business partners who depend on them
Product and business partners bring you in early on their hardest problems and trust the technical direction you set
Your team builds on the patterns you've established without needing your review on routine work, measurably reducing bottlenecks

Requirements

Please only apply if you are able to live and work full-time in one of the states listed above.
Applicants must be able to live and work full-time in Ontario to b
Hands-on experience with an ontology or object-based semantic layer (e.g., Palantir Foundry Ontology), or strong transferable modeling experience and the appetite to go deep
Experience with data mesh, data-as-a-product, and domain-oriented architecture - or strong, well-reasoned conviction about how federated data ownership should work
Experience with modern lakehouse platforms (e.g., Databricks) operated as a shared, self-serve data platform

Nice to have

Python, Git-based workflows, or transformation frameworks such as SQLMesh or dbt
Experience with Foundry Pipeline Builder/Functions or performance tuning at scale

Compensation

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

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
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
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
Professional development budgets for certifications, conferences, and learning available, subject to management approval

Company info

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)
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.
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:
Forbes' America's Best Startup Employers (2026)
Inc. 5000 Fastest-Growing Private Companies
Forbes' Fintech 50 (2023-2026)
Great Places to Work Certified (May 2024-May 2027)
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.

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