Member of Technical Staff, Data Engineering

Parallel Web Systems; New York (NY); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Generous equity

Visa sponsorships

401K plans

Daily lunch & office snacks

Dinner at the office

Unlimited vacation

Caltrain pass reimbursement

Job summary

Parallel Web Systems is building the data foundations powering model training, product development, and analytics. You will design data pipelines, craft scalable storage and query serving layers, and implement quality, lineage, and observability systems to ensure trustworthy data across teams.

You will reason about trade-offs between batch and streaming, storage versus query performance, and DIY vs off-the-shelf infrastructure, contributing to a reliable platform used by numerous internal

Qualifications

• Have deep intuition on distributed data processing, data modeling, and system reliability.
• You like to reason about trade-offs between batch and streaming, storage cost vs query performance, and build-it-yourself vs off-the-shelf infrastructure.
• Focus on data correctness and building dependable systems used across the company.

Responsibilities

• Design pipelines that ingest and transform data at scale.
• Build storage and serving layers that are fast and reliable to query.
• Establish quality, lineage, and observability systems for trusted data.
• Anticipate scaling bottlenecks and make architectural calls to keep the platform ahead of demand.

Skills

Distributed data processing

Data modeling

System reliability

Education

Bachelor's degree or equivalent

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