Design, develop, and maintain reliable end-to-end data pipelines (both batch and streaming) that connect internal and external systems in ways that best support marketplace growth, customer experience, and operational efficiency.
Contribute to the performance, scalability, and reliability of our entire data ecosystem.
Work with analysts and other data stakeholders to engineer data structures and orchestrate workflows that encode core business logic.
Implement observability, testing, monitoring, validation, and documentation to ensure accuracy, stability, and consistency throughout the data stack.
Join cross-functional squads and tiger teams to rapidly translate evolving data needs into scalable and extensible data models, metrics, and analytical frameworks.
Mentor data stakeholders throughout the organization, share best practices, and meaningfully contribute to architectural and tooling decisions as the data stack evolves.

Requirements

Expert-level SQL and data modeling skills (5+ years of experience)
Intermediate proficiency with data-centric Python packages and Node.js data interaction frameworks like Kysely, Prisma, and Sequelize
Deep experience with Snowflake, dbt, MySQL, and AWS data services

Benefits

Accelerated growth & learning potential.
Stipends for home office setup, continuing education, and monthly wellness.
Comprehensive health benefits to fit your needs with base medical plan covered at 100% with optional premium buy up plans.
401K
Unlimited Paid Time Off.
Paid Maternity/Paternity and reproductive care leave.
Gifts on your birthday & anniversary.
Opportunity for domestic travel, including for regional team building events.

Applicant Tracking System Keywords

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

SQLdata modelingPythonNode.jsKyselyPrismaSequelizeSnowflakedbtMySQL

mentoringcollaborationcommunicationproblem-solvingorganizational skills