Member of Technical Staff, Data Engineering
At a glance
Senior Software Engineering role at Parallel Web Systems. San Francisco · full-time · $150,000–$300,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build pipelines that bring in data and reshape it for model training, product development and company analytics
- Create storage and query-serving systems that make company data quick to access and dependable
- Set up checks for data quality, lineage and observability so teams can judge whether to trust it
- Spot capacity limits early and make architecture choices that keep the data platform ready for increased use
What you bring
- You have deep knowledge of distributed data processing, data modeling and reliable systems
- You hold a bachelor's degree or bring an equivalent mix of education, training and work experience
- Your coursework, training or professional background demonstrates a field relevant to this role
Who this fits
This senior engineering role suits someone who can weigh batch against streaming, storage expense against query speed, and custom builds against existing infrastructure. You’ll work fully in person at the Palo Alto headquarters or San Francisco office.
From the employer
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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