Senior Data Engineer

Kin Insurance · Remote · Remote (United States) ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$132k – $153k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior Data Engineer
  • Fully remote (US/Canada)
  • SQL + Python
  • Databricks/Snowflake
  • Equity + 401k match

Join Kin's data team to design production-grade pipelines and enforce data quality standards for their insurtech platform. You will bridge the gap between raw source systems and downstream analytics, ensuring accurate, secure data for Finance, Marketing, and Product teams.

The role involves collaborating with App Engineering and Analytics teams to translate ambiguous needs into well-modeled datasets. You will also mentor junior engineers and leverage AI tools to enhance engineering efficiency and observability.

What you'll do

  • Design and build scalable data pipelines and models for analytics
  • Implement data validation, testing, and QA standards for reliability
  • Partner with App Engineering to define raw data capture strategies
  • Translate ambiguous business needs into structured datasets
  • Ensure compliance with GDPR, CCPA, and GLBA via access controls
  • Mentor team members on modeling best practices and documentation
  • Use AI-assisted tools to improve code quality and efficiency

What you'll need

  • 4+ years in data engineering, analytics, or dimensional modeling
  • Advanced SQL skills for transforming data in warehouse environments
  • Proficiency in Python (Pandas, NumPy) for pipeline development
  • Expertise in dimensional modeling and ELT workflows
  • Experience with Databricks, Snowflake, or Redshift platforms
  • Ability to explain technical concepts to non-technical stakeholders
  • Proven track record of building production-ready data models

Stack

  • SQL
  • Python
  • Pandas
  • NumPy
  • Databricks
  • Snowflake
  • Redshift

How you'll work

  • Remote-first company with offices in Chicago and St. Petersburg
  • Must reside in one of 41 specified US states or Ontario, Canada
  • Full-time position with flexible PTO policy
  • Collaborative culture with low drama and high performance focus

What you get

  • Competitive salary and Restricted Stock Units (RSUs)
  • 401(k) with up to 4% company match
  • Medical, dental, and vision coverage options
  • Company-funded HSA contributions based on plan selection
  • Paid parental leave: 14 weeks birthing, 8 weeks non-birthing
  • Professional development budgets for certifications and learning
  • Access to mental health support and counseling resources

Hiring process

  • Application review by in-house recruiters until Oct 9, 2026
  • Interviews with recruiters and hiring managers
  • Skills assessment relevant to the position if applicable
  • Prompt feedback and updates provided after each stage