Member of Technical Staff, Data Engineering

The role

You will build data foundations for model training, product building, and analytics. You will design pipelines, build storage and serving layers, and establish quality, lineage, and observability systems.

What you will do

• Design pipelines that ingest and transform data at scale
• Build storage and serving layers for fast and reliable querying
• Establish quality, lineage, and observability systems
• Anticipate scaling bottlenecks
• Make architectural calls to keep the platform ahead of demand

Required qualifications

• Bachelor's degree or equivalent combination of education, training, and professional experience
• A field relevant to the role as demonstrated through coursework, training, or professional experience
• Deep intuition on distributed data processing, data modeling, and system reliability

Benefits

• Competitive salary
• Generous equity
• Visa sponsorships
• 401K plans
• Daily lunch & office snacks
• Dinner at the office
• Unlimited vacation
• Caltrain pass reimbursement

About the company

Parallel is a web infrastructure company. Their products are used by businesses to build AI agents with programmatic access to the web.