Senior Data Ingest Engineer: Real-Time Pipelines

Tabs

New York (NY)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation and equity
Unlimited PTO
Healthcare premium coverage

Job summary

Tabs, the leading AI-native revenue platform, seeks a Senior Software Engineer for the Data Ingest team in our Integrations org. You will own parts of the usage-to-billing pipeline, ingest real-time data from CRM systems, and help scale data flows to support AI-era billing and analytics.

This senior IC role offers room to grow into technical leadership as the team expands, collaborating with product, design, and other engineers to build scalable, reliable systems for modern finance teams.

Qualifications

  • 5+ years of professional software engineering experience.
  • Experience with TypeScript or a similar language, and a willingness to work across the stack.
  • Experience with high volume data ingest is a plus.

Responsibilities

  • Own pieces of the usage-to-billing pipeline: ingesting raw usage events, aggregating them, turning datapoints into dynamic pricing.
  • Build and scale real-time CRM ingestion toward a platform that can onboard any new data source without custom code.
  • Design and extend the customer and commercial graph — the semantic model across Tabs.
  • Work across the full stack — frontend configuration surfaces and backend data-ingest infrastructure.
  • Level up the engineers around you and help shape engineering culture as the team grows.

Skills

5+ years of experience
TypeScript
Full-stack
Mentorship

Tools

TypeScript
Node.js
NestJS
React
Next.js
Java
Kafka
PostgreSQL
Redis
ClickHouse

Job description

Tabs, the leading AI-native revenue platform, seeks a Senior Software Engineer for the Data Ingest team in our Integrations org. You will own parts of the usage-to-billing pipeline, ingest real-time data from CRM systems, and help scale data flows to support AI-era billing and analytics.

This senior IC role offers room to grow into technical leadership as the team expands, collaborating with product, design, and other engineers to build scalable, reliable systems for modern finance teams.

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