Numerated

Software Engineer, Data Platform

Numerated$120K — $145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of software engineering experience in data-intensive systems
  • Strong SQL skills and understanding of columnar stores and query performance
  • Experience with transformation/orchestration tools like SQLMesh, dbt, or Dagster
  • Proficiency in general-purpose programming, especially TypeScript and some Python
  • Familiarity with concepts like ETLs, idempotency, watermarks, and backfills

Responsibilities

  • Develop ingestion mechanisms for various API sources and file-based data
  • Enforce data contracts and schema management for downstream consumers
  • Manage Data Lakehouse schema through a streamlined code pipeline
  • Implement robust data security measures and access controls
  • Facilitate batch processing and track event-driven accounting
  • Ensure data correctness through observability and completeness checks
  • Support scalable reporting solutions for diverse query patterns

Benefits

  • Exposure to a high-paced, collaborative team environment
  • Opportunity to learn domain-specific knowledge pertinent to accounting
  • Substantial agency over product direction and engineering practices
  • Access to a culture that values craftsmanship and pragmatism
  • Work in a supportive setting that encourages personal ownership of outcomes
Full Job Description
About the role

Numeric's product is, at bottom, data: your accounting history, your ability to pass an audit, your capacity to catch mistakes before your auditors do. The Data Infrastructure team builds the financial data plane that makes that possible - the lakehouse that ingests raw data from ERPs, banks, payment processors, and customer warehouses, transforms it into typed canonical tables, and serves it to our accounting modules, reporting engine, and AI agents. We're mid-way through a deliberate architectural bet (ClickHouse-backed lakehouse, SQLMesh, per-tenant isolation) and it is the layer we expect to carry the most new investment this year. Every engineer on the team owns a slice of the architecture end to end.

What you might work on
  • Ingestion at scale: incremental, watermark-based extraction from API sources (NetSuite, Stripe, Brex, Ramp, HubSpot...), file-based S3 inboxes, and Postgres 12 ClickHouse replication - and making each new source cheap to add.
  • Data contracts & typed source data: stop downstream consumers from touching untyped raw JSON; enforce schemas at the boundary and make datasets discoverable.
  • Data Lakehouse schema management: a single declare 12 codegen 12 apply pipeline so schema intent is codified, reviewable, and applied consistently across tenants.
  • Data Security: Scoping queries, building ACLs, and ensuring that we never, ever compromise our customer's trust
  • Batch processing & event-driven accounting: decouple event processing from downstream failures; give operators clear 24what ran, what failed, and why25 answers.
  • Data correctness & observability: completeness checks rooted in platform data, ingestion health, two-phase re-ingest, and explanatory links from ledger entries back to raw events.
  • Reporting scalability: the query patterns and materializations that let reporting drill from a board-level P&L to a single transaction without falling over.
  • Tons of other stuff!

You might be a great fit if you...
  • Have built or operated data pipelines / lakehouse / warehouse systems in production and have opinions about ETLs, idempotency, watermarks, and backfills.
  • Treat auditability and 24fail early, fail explicitly25 as design constraints, not afterthoughts.
  • Are comfortable across the stack: TypeScript services, SQL (ClickHouse and Postgres), and transformation tooling like SQLMesh or dbt.
  • Like being close to the consumers of your data - accounting module engineers, the reporting team, and agents - and shaping the interfaces they use.
  • Want to learn how accountants think about source data, completeness, and close, and let that shape what you build.

What you need
  • 3+ years of software engineering experience, with meaningful time on data-intensive systems.
  • Strong SQL and a working understanding of columnar stores, partitioning, and query performance.
  • Experience with a modern transformation / orchestration stack (SQLMesh, dbt, Dagster, Airflow, or similar).
  • Strong general-purpose programming (we're primarily TypeScript, with Python mixed in).

Nice to have
  • ClickHouse, Iceberg, or Athena experience.
  • Multi-tenant data isolation, PII handling, or SOC 2 / audit-driven controls.
  • Prior exposure to financial or accounting data (ERPs, GL, subledgers).
  • Experience with orchestration systems like Temporal or Inngest

Stack: TypeScript / Node, Postgres, ClickHouse (ClickPipes), SQLMesh, S3 / Athena, Inngest, AWS.

How we work

This role is in-person in New York.

As an engineer at Numeric you will learn the domain, meet your users, and exercise substantial creativity and agency over product direction. You'll work with a high-pace, high-integrity team that loves collaboration.

We believe the best company is the one with the best ICs and we've built a culture to maximize great work. We believe great product & engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact. As engineers we ground our work in our understanding of the users, the domain, and the goals for our organization.

We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles:
  • Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. Engineers are responsible not just for code, but for ensuring the product is solving the end problems of the users.
  • Brick by Brick: To win, our team needs to show up and execute in each domain every day.
  • Love the Game: We focus on the craft and a deep sense of giving a f*ck. We're building a company full of people who are equally engaged and motivated.
  • Earn the right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users.
  • SALY: We refuse to accept 24Same As Last Year.25 We bring fresh eyes to a stagnated and underserved domain. We're driven by a first-principles approach to building better solutions.


Read some of our thoughts on engineering and company-building here.

About Numerated

Numerated is a financial technology company that provides a digital lending platform for banks and credit unions. The platform uses artificial intelligence and machine learning algorithms to automate the lending process, from application to underwriting to funding. Numerated's solutions help financial institutions increase loan volume, reduce costs, and improve customer experience. The company was founded in 2017 and is headquartered in Boston, Massachusetts.
Learn more about Numerated
Size
50 employees
Industry
Founded
2017

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