Senior Data Engineer

You will build and own data infrastructure for analytics, product, and growth decisions. You will develop reliable pipelines, data models, warehouse capabilities, streaming systems, and third-party integrations. You will write backend code, maintain scalable AWS data infrastructure, improve data quality, and help shape architecture and technical standards.

Responsibilities

• Design, build, and maintain ELT/ETL pipelines using Airflow, dbt, and SQL
• Own data warehouse modeling, performance, cost, and data quality
• Build and maintain streaming data pipelines using RabbitMQ or Kafka
• Develop data import and export integrations with third-party platforms and APIs
• Write production backend code in Python or TypeScript for ingestion, transformation, and integrations
• Maintain scalable and cost-efficient AWS data infrastructure using Redshift, RDS/Aurora Postgres, and S3
• Implement testing, monitoring, and documentation practices
• Organize and expose curated datasets for AI and ML features
• Partner with product, engineering, analytics, and business stakeholders on data needs
• Make architecture and tooling decisions as an early data hire

Requirements

• 5+ years of experience as a data engineer or in a hybrid data engineering and backend role
• Strong SQL skills
• Hands-on experience with a cloud data warehouse
• Production experience with dbt
• Experience building and orchestrating pipelines with Airflow or a comparable orchestrator
• Proficiency in Python or TypeScript
• Experience with AWS, RDS/Aurora Postgres, and S3
• Familiarity with Kafka or RabbitMQ
• Cross-functional communication skills

Benefits

• Remote work
• Optional offices in San Francisco
• Flexible time off