Lead and manage a team of ~6 data engineers, driving execution, performance, and career development
Own Kin’s data platform, including ingestion, storage, transformation, pipeline orchestration, and governance
Define and execute on a Data Engineering strategy that supports analytics, data science, and product use cases
Build and optimize scalable data pipelines and architectures using tools like Snowflake, Databricks, DBT, and Airflow
Partner closely with Engineering, Product, BI, and Data Science to deliver high-impact data solutions
Establish best practices for data reliability, testing, CI/CD, and observability across pipelines
Guide the team through large, complex initiatives with iterative delivery and clear prioritization
Drive improvements in data quality, accessibility, and documentation across the organization
Foster a culture of ownership, accountability, and continuous improvement within the team

Requirements

Experience leading and managing a data engineering team, ideally in a high-growth or startup environment
Hands-on expertise with modern data platforms such as Snowflake and/or Databricks
Experience building and maintaining data pipelines using tools like DBT, Airflow, DMS, or Airbyte
Familiarity with streaming data technologies such as Kafka or Flink
Strong background in large-scale data architecture and data modeling
Experience implementing engineering best practices including CI/CD, automated testing, and monitoring
Proficiency in Python for data engineering use cases

Benefits

Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package
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
Employee referral bonuses
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
Career mobility and internal growth opportunities across the organization
Professional development budgets for certifications, conferences, and learning available, subject to management approval

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata architecturedata modelingdata pipelinesPythonCI/CDautomated testingmonitoringdata governancedata transformation

Soft Skills

leadershipteam managementperformance managementcareer developmentcollaborationaccountabilitycontinuous improvementprioritizationcommunicationproblem-solving