As a Senior Data Engineer, you will be the sole architect and enabler of our entire data ecosystem in a dynamic scale-up environment. You'll design and implement sophisticated data pipelines, including reverse ETL processes that push insights back into our operational systems, directly impacting how we serve millions of users globally.
Requirements
- 5+ years of hands-on experience with AWS Redshift, including performance optimization, cluster management, and advanced SQL
- 3+ years working with AWS RDS, DynamoDB and NoSQL data modeling patterns
- Proven experience building reverse ETL pipelines and data activation frameworks
- Strong Python or similar programming skills for data pipeline development
- Experience as a solo data engineer or leading data initiatives independently
- Track record of building data infrastructure in scale-up environments (Series A-C)
- Expertise in modern data stack tools (dbt, Airflow, Census, Fivetran, or similar)
- Experience with streaming data architectures and real-time analytics
- Deep understanding of data warehouse design patterns and dimensional modeling
- Proficiency in Infrastructure as Code (Terraform preferred) for AWS resources
- Strong written and verbal communication skills with proven ability to work effectively in remote distributed teams
- Demonstrated experience in independent project management with a track record of owning and delivering complex data projects on schedule
- Previous experience working in SaaS companies with an understanding of SaaS-specific data challenges and metrics
Benefits
- Competitive compensation
- Remote-first culture with flexible working arrangements