Member of Technical Staff: Data Engineering

Monk

$120K — $150K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience building production data systems at a venture-backed startup
  • Expert in Postgres and SQL with extensive experience in data pipelines
  • Hands-on experience with modern cloud infrastructure like Supabase, AWS, or Vercel
  • Proactive ownership of data pipeline issues
  • Strong interest in harnessing AI to enhance data processes
  • Bonus expertise in fintech or payments data systems

Responsibilities

  • Own the complete data platform lifecycle including ingestion, transformation, and storage
  • Design infrastructure for transforming chaotic customer data into a reliable single source of truth
  • Ensure end-to-end data quality, implementing robust monitoring and validation systems
  • Develop customer-facing data products that provide actionable insights
  • Enhance data accessibility for debugging and querying to manage significantly increased volume

Benefits

  • Immediate visibility into the impact of your work on customer AR strategies
  • Full health and dental benefits
  • Trust and freedom to execute without micromanagement
  • Collaborative environment with fast-paced and motivated teammates
  • Opportunity to work closely with experienced founders and a growing customer base
  • High productivity potential in a short timeframe
  • In-person collaboration in a vibrant Flatiron, NYC location
Full Job Description
Member of Technical Staff: Data Engineering

You will be Monk's first dedicated data hire. Money movement runs on data, and ours has to be correct every time. You will own the pipelines that ingest, normalize, and reconcile financial data across every customer environment and the data foundation our AI agents reason over. This is not a supporting role. You will set the architecture, own the quality bar, and build the platform we scale on.

What you will do
  • Own Monk's data platform end to end: ingestion, transformation, storage, and serving
  • Design and build the data infrastructure that turns messy customer data into a single source of truth for agents and customers.
  • Own data quality and correctness end to end and do not accept "mostly right" as an answer. Build best-in-class monitoring, validation, and alerting for your work.
  • Build customer-facing data products: visibility into AR health, agent behavior, and cash flow that customers can act on
  • Make data easy to debug, easy to query, and fast at 10x and 100x today's volume


Who you are
  • 4+ years building production data systems at a venture-backed startup. You joined when the data layer was duct tape, scaled it through real growth, and lived with the consequences of your own architecture
  • Expert in Postgres and SQL. Deep experience with data pipelines, ETL/ELT, and event-driven processing
  • Hands-on with Supabase, AWS, Vercel, or comparable modern cloud infrastructure
  • Owner. You do not file tickets about pipeline failures. You fix them, then make sure they cannot happen again
  • AI-native. You use AI to move faster and you are excited to build the data foundation that makes AI agents production-grade
  • In-person in Flatiron, NYC
  • Bonus: (1) fintech or payments data systems, (2) data infrastructure for LLM or agent products, (3) founding or early data hire


Why join
  • Customers use Monk to guide their AR strategy today. You will see the impact of your work in production immediately
  • Competitive salary, meaningful equity, full health/dental
  • Freedom and trust. There are no spec handoffs
  • We are all in. Expect motivated teammates who ship fast and hold a high bar
  • Experienced founders with real traction and happy customers
  • You will produce more here in a month than you would at most companies in a year
  • Build in person in Flatiron, NYC. It is more fun


We hire for intensity, craft, and attitude. Everything else can be learned.

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