Build the world-class data platform that powers creator discovery for thousands of companies at Modash. As a Senior Data Engineer, you'll be part of a profitable startup that treats data engineering as a core product capability, not just a service function. You'll design, develop, and test data pipelines to collect, process, and store data that helps brands discover and partner with online content creators. Take end-to-end ownership of projects from idea to launch in a collaborative, remote-first environment. Key Responsibilities: - Build world-class data platform that powers creator discovery - Design, develop, and test data pipelines to collect, process, and store data - Collaborate with cross-functional teams on data initiatives - Implement data quality monitoring systems - Take end-to-end ownership of projects from idea to launch - Work on data engineering as core product capability Technical Requirements: - Programming: Python and SQL proficiency - Big Data: Spark environment experience - Workflow Management: Airflow, AWS Step Functions - Cloud: AWS ecosystem (DynamoDB, Glue, EMR, Kinesis, Lambda) - Data Pipeline: ETL & ELT pipeline development experience - Database Design: SQL/NoSQL database architecture skills Tech Stack: - AWS with Pulumi for infrastructure - Node.js with TypeScript - PySpark on EMR for big data processing - Apache Airflow for workflow orchestration - Various AWS services for data processing and storage Benefits: - Flexible working hours and unlimited PTO - Fully remote with high autonomy - Personal development budget for growth - Annual team offsite adventures - Mission-driven work in creator economy - Ownership culture with significant impact potential