Staff Data Platform Engineer - Scalable Pipelines
reflectionai
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Benefits offered by this job
Job summary
Reflection is seeking a data engineer to build the core data systems and pipelines powering research, training, and production environments. You will design scalable ingestion and orchestration for batch and streaming workloads, and develop the storage and compute foundations that enable reproducible experimentation.
Join a team focused on data quality, governance, and a unified data backbone for world-class open AI systems.
Qualifications
- Strong data engineering background with production-grade pipelines.
- Experience designing and owning end-to-end data systems for large-scale workloads.
- Comfortable debugging pipeline failures, optimizing cost and performance, and maintaining data quality.
- Collaborative, clear communicator across research and infrastructure.
Responsibilities
- Build and operate core data systems and pipelines powering research, training, and production.
- Design reliable, scalable ingestion and orchestration for batch and streaming workloads.
- Develop storage and compute foundations enabling reproducible experimentation.
- Drive data quality and governance standards trusted for production decisions.
Skills
Tools
Job description
Reflection is seeking a data engineer to build the core data systems and pipelines powering research, training, and production environments. You will design scalable ingestion and orchestration for batch and streaming workloads, and develop the storage and compute foundations that enable reproducible experimentation.
Join a team focused on data quality, governance, and a unified data backbone for world-class open AI systems.
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