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Member of Technical Staff, Data Engineering

Parallel Web Systems· Engineering
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San Francisco or Palo Alto$150k - $300kFull-timePosted 2mo ago

About the role

You will build the data foundations that powers model training, product building and analytics across the company. Design pipelines, storage and serving layers, and establish quality, lineage, and observability systems for trusted data at Parallel.

Responsibilities

  • Design pipelines that ingest and transform data at scale
  • Build storage and serving layers for fast and reliable queries
  • Establish data quality, lineage, and observability systems
  • Anticipate scaling bottlenecks and make architectural decisions to handle growing demand
  • Collaborate across teams to enable data-driven model training, product building, and analytics

Qualifications

  • Bachelor's degree or equivalent combination of education, training, and professional experience
  • A field relevant to the role demonstrated through coursework, training, or professional experience
  • Experience level to be determined by internal job level requirements

Skills

Required:Data engineeringBatch vs streamingStorage optimization
Nice to have:Build vs buy infrastructure

Benefits

  • Competitive salary
  • Generous equity
  • Visa sponsorships
  • 401K plans
  • Daily lunch & office snacks
  • Dinner at the office
  • Unlimited vacation
  • Caltrain pass reimbursement
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Parallel Web Systems

The highest accuracy web search for your AI

Deep research API interface for ChatGPT and AI agents. Enterprise-grade deep research with up to 48% accuracy vs GPT-4's 1%. Built for ChatGPT deep research assistants and complex multi-hop AI workflows.

AIDeep researchEnterpriseWeb searchai-infrastructure-and-developmentwing-list-2026wing-list-2026-mid-stage
Company profileWebsite

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