Design and evolve scalable, distributed data infrastructure across cloud platforms
Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads
Develop and manage integrations with third party e-commerce platforms to expand our data ecosystem
Ensure data availability, reliability and quality through monitoring and automated auditing
Partner with engineering, AI and product teams on data solutions for business critical needs
Mentor and support data engineers, establishing best practices and code quality standards

Requirements

5+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Deep expertise scaling Spark in production (Databricks, EMR, etc)
Strong understanding of distributed computing and modern data modeling for scalable systems
Proficient in Python with experience implementing software engineering best practices
Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases
Strong communicator with experience influencing cross functional stakeholders

Benefits

Equity in the form of stock options
Medical, dental, and vision coverage
401(k) plan
Flexible PTO and company holidays
Fully remote work within the United States
Periodic company-wide offsites and team gatherings

Applicant Tracking System Keywords

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

Hard skills

data infrastructuredata processing pipelinesdata integrationsdata availabilitydata reliabilitydata qualitySparkPythonrelational databasesNoSQL databases

Soft skills

mentoringsupportingbest practicescode qualitycommunicationinfluencing

Certifications

Bachelor's degree in Computer Science