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 → 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 → codegen → 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 “what ran, what failed, and why” 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.
Qualification
ClickHouseMulti-tenant data isolationStackThis role is hybrid in San Francisco
Required
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).
Preferred
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
This role is hybrid in San Francisco, in-office first.
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.
