Principal Data Engineer (Remote)
Tasks
- Advise clients on architecture scalability and platform evolution
- Apply data modeling and ETL ELT patterns
- Build and optimize data pipelines
- Design scalable data solutions
- Document outcomes and drive action items
- Identify mitigate and resolve project blockers
- Implement orchestration and transformation frameworks in production
- Lead implementation design through production
- Lead retrospectives and feedback conversations
- Mentor internal team members
- Model company values and support team culture
- Own architecture and delivery of modern data platforms end to end
- Shape client data strategy
Perks/Benefits
- 12 weeks new parent leave
- Coworking support
- Flexible PTO
- Learning & development stipend
- Time allotment for learning and development
- Unlimited learning access
Skills/Tech-stack
Amazon Kinesis | Apache Spark | CI/CD | Cloud Data | Cloud Data Services | Cloud Pub/Sub | Data Modeling | Data Pipelines | Data Processing | Data Services | Databricks | Delta Lake | DevOps | Distributed data | Distributed data processing | ELT | ETL | Google Cloud | Google Cloud Pub/Sub | Infrastructure as Code | Kafka | MLOps | Orchestration | Pub/Sub | Python | RAG Pipelines | SQL | Streaming Data | Vector Search | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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