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Member of Technical Staff, Data Engineering

ParallelSan Francisco or Palo Alto🇺🇸United StatesPosted 29 Jul 2026

Why This Role Stands Out

As a Data Engineer at Parallel, you'll architect and build the critical data infrastructure powering AI agents for leading businesses, offering significant growth opportunities within a well-funded, innovative company. This role is perfect for someone with a strong intuition for distributed systems and data modeling who enjoys tackling complex scaling challenges. Apply to join a talented team at the forefront of web infrastructure innovation.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Location
San Francisco or Palo Alto, United States
Posted
6 weeks ago
401k

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.

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.

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.

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

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