Member of Technical Staff, Data Engineering
Most applications go out cold — see where you stand first. No sign-up to start.
Don't just apply. Show up ready.
Olive works from this exact posting — no sign-up to start.
At a glance
Job overview
Parallel Web Systems is hiring a Member of Technical Staff, Data Engineering. Parallel is a web infrastructure company building data foundations for model training, product building, and analytics. This role involves designing scalable pipelines, building storage and serving layers for fast and reliable querying, and establishing quality, lineage, and observability systems. The company seeks individuals who can anticipate scaling bottlenecks and make architectural decisions to stay ahead of demand.
Key focus areas include Build data foundations that power model training, product building and analytics, Design pipelines that ingest and transform data at scale, and Build storage and serving layers that make data fast and reliable to query.
Preferred (not required): Distributed Data Processing, Data Modeling, System Reliability, and Designing Pipelines.
Skills & qualifications
Skills
Benefits
Full job description
About us 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.
Job: 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.
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.
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.
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
You've read the whole posting — now see how you match it.