Member of Technical Staff, Data Engineering
- Salary
- $150K - $300K
- Level
- Staff
- Work type
- On-site · San Francisco
Not stated in the posting: visa.
Open. First seen 29 July 2026.
About the role
About us
Parallel Web Systems's standard text
Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.
We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
The role:
You will build the data foundations that powers model training, product building and analytics across the company. You will work across the full lifecycle: designing pipelines that ingest and transform data at scale, building the storage and serving layers that make it fast and reliable to query, and establishing the quality, lineage, and observability systems that let others trust the data. You will anticipate scaling bottlenecks before they appear and make the architectural calls that keep the platform ahead of growing demand.
About you:
Have deep intuition on distributed data processing, data modeling, and system reliability. You like to reason about the trade-offs between batch and streaming, between storage cost and query performance, and between build-it-yourself and off-the-shelf infrastructure. You care about the data being right, not just available, and about building systems that teams across the company can depend on without a second thought.
Parallel Web Systems's standard text
You might be a good fit if you have:
- 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
- Years of experience required will correlated with the internal job level requirements for this position.
Life at Parallel
Our team works fully in-person, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.
Parallel Web Systems's standard text
We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:
- Own customer impact: It’s on us to ensure real-world outcomes for our customers.
- Obsess over craft: Perfect every detail because quality compounds.
- Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.
- Create win-wins: Creatively turn trade-offs into upside.
- Make high-conviction bets: Try and fail. But succeed an unfair amount.
Compensation & benefits
- Competitive salary
- Generous equity
- Visa sponsorships
- 401K plans
- Daily lunch & office snacks
- Dinner at the office
- Unlimited vacation
- Caltrain pass reimbursement
What this role asks for
71% of this description is written for the role. The rest is Parallel Web Systems's standard text, folded away below.
Read against Parallel Web Systems's other open postings on this site.
The team: Engineering
This role is one of 10 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Golang (2 of 10), Kubernetes (2 of 10), LLM (2 of 10), Python (2 of 10), TypeScript (2 of 10)
OTHER ROLES ON THIS TEAM
- Member of Technical Staff, Infrastructure Security posted Sep 16
- Member of Technical Staff, Product Security posted Sep 16
- Deployed Engineer posted Aug 28
- Member of Technical Staff, Model Training posted Jun 23
- Member of Technical Staff, Search Ranking posted Jun 23
- Member of Technical Staff, Retrieval & Indexing posted Jun 23
- Early Career Research Engineer posted Jan 24
- Member of Technical Staff, Front-end posted Aug 13
- Member of Technical Staff, Back-end & API posted Aug 13
From the team and dates on Parallel Web Systems's own job board.
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