Senior Data Engineer

• We’re looking for a Senior Data Engineer to turn raw, complex data into trusted, well-modeled datasets that power reporting and decision-making across Kin
• As we grow, the accuracy and structure of the data underneath our reporting matters more every quarter — teams can only move as fast as the data they’re standing on
• You’ll own the modeling layer between raw source data and the people who depend on it: analytics engineers, BI, and business stakeholders across Finance, Marketing, and Product
• You’ll work closely with App Engineering to understand source systems and with downstream teams to make sure what you build actually answers their questions
• Design and build scalable, production-grade data pipelines and data models to power downstream analytics and enterprise reporting
• Implement and enforce data validation, testing, and QA standards across data models to ensure accuracy and reliability
• Partner with App Engineering to understand source systems and define how raw data should be captured and modeled downstream
• Collaborate with Analytics Engineering, BI, and business stakeholders to translate ambiguous reporting needs into scalable, well-modeled datasets
• Ensure data models comply with data security and privacy regulations (e.g., GDPR, CCPA, GLBA) through access controls and monitoring
• Mentor other data engineers on modeling best practices, documentation, and data processing patterns
• Leverage AI-assisted development tools where appropriate to improve engineering efficiency, code quality, and observability
• 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
• Well-modeled, production-ready datasets are the default source of truth for reporting, cutting down on one-off requests and rework
• Data validation and QA standards are consistently applied, resulting in measurable improvements in data quality and stakeholder trust
• Cross-functional partners rely on your models to make faster, better-informed decisions

Benefits

• Medical
• Dental
• Vision
• Life insurance
• Disability insurance
• Commuter benefit plan
• 401k
• Flex spending accounts
• Support for continuing education and professional development
• Training, development, and networking opportunities via Sales Assembly
• Flexible PTO
• Onsite gym membership
• Company-provided lunch each month
• Daily snacks
• Sodas, unlimited flavored water, & coffee

• Expertise in dimensional modeling, ELT workflows, and modern data architecture patterns
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Advanced SQL skills, with experience transforming data from multiple sources into a scalable warehouse or lakehouse
• Proficiency in Python (Pandas, NumPy, etc.) for data transformation and pipeline development
• 4+ years of experience in data engineering, analytics engineering, or dimensional modeling roles, building production data models
• Proven ability to model raw, complex data into well-structured, analytics-ready datasets
• Experience working with platforms such as Databricks, Snowflake, or Redshift
• Ability to translate ambiguous business requirements into scalable, well-modeled datasets

• Deadline to Apply October 9, 2026 at 6:00 AM GMT+1
• We believe a great hiring experience should be clear, respectful, and human
• We’ll accept applications for this position until October 9th, 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