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Software Engineer, Data Platform

Numeric· Engineering
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Hybrid (San Francisco)$125k - $225kFull-timePosted 1mo ago

About the role

Role focused on building Numeric's data platform (lakehouse) that ingests, transforms, and serves financial data for accounting, reporting, and AI agents. Hybrid in-office first, SF-based with teams in New York and London.

Responsibilities

  • 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!

Qualifications

  • 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 (TypeScript preferred, Python mixed in).

Skills

Required:SQLTypeScriptdbt / SQLMesh / Dagster / AirflowData ingestion / ETL

Benefits

  • Equity (as part of compensation)
  • Hybrid in-office first, with teams in New York, San Francisco, and London (location: San Francisco)
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Numeric

AI-Powered Close Automation

With Numeric, leading teams organize their close, streamline reconciliations, and leverage AI for auto-drafted flux analysis and lightning-fast reporting.

AccountingAIAutomationFinancial Reports
Company profileWebsite

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