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Data Engineer

Whirl AI San Francisco, California, United States

Software Development · 11-50 employees

Yesterday
Remote data-engineer Senior (5-10 yrs) Full-time United States
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About the role

You will design and build new data connectors while improving existing ones to replicate data from business systems in near real-time. Additionally, you will strengthen core CDC infrastructure and collaborate with product teams to translate business requirements into scalable data solutions.

What they look for

Data engineering CDC SQL Relational databases Distributed systems Cloud-scale environment API design Infrastructure design Data replication Ingestion performance Software architecture System troubleshooting Schema drift Event-based replication

Requirements

Candidates must have 5+ years of experience building large-scale systems in production and deep expertise in distributed, cloud-scale environments. Strong proficiency in SQL, relational databases, and CDC systems is required to succeed in this role.

Benefits

Health plan coverage Equity

Full description

Company Description

Whirl AI helps Enterprise IT organizations deliver business change faster. Our platform gives enterprise teams AI agents grounded in a deep, continuously updated understanding of how their systems actually work - compressing discovery and documentation from weeks to hours without sacrificing quality or control. We are early-stage, moving fast, and building the team that will define how Enterprise IT operates in the AI era.

Role Description You'll own a core part of WhirlAI's data platform: the connectors that replicate data from CRMs and other core business systems into our platform in near real time using CDC. As a senior IC, you'll both improve our existing connectors and build new ones from scratch, setting technical direction on connector architecture with minimal oversight.

Your Responsibilities

  • Design and build new data connectors, and improve existing ones, replicating data from a range of source systems into our platform.
  • Strengthen and extend our core CDC infrastructure so improvements compound across every connector.
  • Optimize ingestion performance, meet with customers, and troubleshoot issues to ensure fast, secure, and reliable data transfer from external systems.
  • Raise the technical bar for the team by example: code, design reviews, and informal mentorship without formal reporting responsibilities.
  • Partner with Product and customers to understand business requirements and translate them into concrete data solutions.

Qualifications

  • 5+ years of industry experience designing, building, and owning large-scale systems in production
  • A track record of owning complex projects from design through launch, with the ability to weigh hard tradeoffs and drive to completion
  • Deep experience with high-performance, scalable software in a distributed, cloud-scale environment.
  • Strong SQL skills and a deep understanding of relational databases.
  • Real experience with CDC systems (log-based or event-based replication, schema drift, checkpointing, and delivery guarantees)
  • A strong point of view on infrastructure and API design, backed by things you've actually built and maintained.

Why Join us

  • Own meaningful technical decisions at the ground floor of an AI company targeting a massive market
  • Work directly with founders and have immediate, visible impact
  • Competitive compensation including equity and benefits (100% employer-paid health plan coverage for employees)

Whirl AI is committed to equal employment opportunity. All hiring decisions are made on the basis of qualifications, merit, and business need - never on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

We build better products because our team doesn't all think the same way, and we want that to keep being true. Show up as yourself. We can't wait to meet you.

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