Note: The job is a remote job and is open to candidates in USA. Kin is a remote-first homeowners insurance company using data, technology, and human support to simplify homeownership. The Staff Analytics Engineer will serve as the technical anchor for an analytics engineering team, owning ontology design, semantic and dimensional modeling, architecture, data-as-a-product practices, and technical standards. The role also partners with product, business, and data engineering teams while mentoring engineers and applying AI tools to analytics engineering work.
Responsibilities
- Own the hardest modeling and architecture in your team's scope — ontology objects (types, properties, link types, and actions) that model your part of the business as it actually operates, and the dimensional and semantic models (e.g., Looker/LookML) that serve them downstream
- 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
- Take end-to-end ownership of your team's most business-critical initiatives, where deep semantic and architectural judgment is the differentiator
- Align your team's models with shared representations of core entities (customer, policy, claim) so they stay consistent and interoperable across the mesh — partnering with the Principal Engineer and peers where definitions are cross-cutting
- 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
Skills
- • 8+ years in analytics engineering, BI engineering, or data modeling roles, with a track record of being the technical anchor on complex, cross-cutting data work • Deep expertise in semantic and data modeling — and the judgment to know when an ontology-driven model, a dimensional model, or both is the right tool • 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 • Fluency in dimensional modeling for presentation/BI consumption (e.g., Looker/LookML) downstream of a source-of-truth model • 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 • Demonstrated technical leadership and influence without formal authority — you move a team and its partners through credibility, clarity, and example • Strong written and verbal communication, especially when navigating ambiguity, tradeoffs, or disagreement • Comfort applying Claude, Claude Code, and Databricks-native AI tools in day-to-day analytics engineering work 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
- • Python, Git-based workflows, or transformation frameworks such as SQLMesh or dbt • Experience with Foundry Pipeline Builder/Functions or performance tuning at scale
Benefits
- Company equity through Restricted Stock Units (RSUs), granted as part of the 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
- Supplemental long-term disability, critical illness, accident, legal, and pet insurance
- Access to mental health support and confidential counseling resources
- Flexible PTO for exempt employees
- 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, subject to management approval
- Remote-first work arrangement
Company Overview