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Numeric
Numeric
11 – 50 Darbinieki
H1B vīzas sponsorsB2BSaaS
Numeric ir B2B SaaS uzņēmums, kas izstrādā programmatūru grāmatvedības datu un darbību pārvaldībai. Tā platforma palīdz mūsdienīgiem uzņēmumiem efektīvāk un konsekventāk pārvaldīt grāmatvedības darba plūsmas, kā arī atbalsta komandas, kurām nepieciešama precīza finanšu informācija un raiti darbības procesi.
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Vakances uzņēmumā

Software Engineer, Data Platform — Numeric (Hybrid, San Francisco)

Build Numeric’s accounting lakehouse and financial data platform. Own ingestion, schemas, security, observability, workflows, and reporting infrastructure for ERP and financial data.

USAmerikas Savienotās ValstisCAKalifornija
125 000 $ – 225 000 $ / gads
HibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
AirflowPostgresPythonSQLTypeScript

Apraksts

  • Own and operate the financial data plane supporting Numeric’s accounting platform
  • Build resilient ingestion pipelines from NetSuite, Stripe, Brex, Ramp, HubSpot, S3 inboxes, and Postgres into ClickHouse
  • Apply data contracts and typed schemas at system boundaries
  • Manage lakehouse schemas through declaration, code generation, and application pipelines
  • Implement query scoping and access controls to safeguard customer data
  • Develop batch-processing systems and event-driven accounting workflows
  • Strengthen data accuracy, observability, ingestion health, re-ingestion, and traceability from ledger entries to raw events
  • Create scalable reporting query patterns and materializations
  • Partner with accounting module, reporting, and AI-agent engineering teams
  • Develop accounting expertise, shape product direction, and own architecture end to end

Prasības

  • At least three years of software engineering experience, including substantial work with data-intensive systems
  • Strong SQL skills and practical knowledge of columnar stores, partitioning, and query performance
  • Experience with a modern transformation or orchestration stack such as SQLMesh, dbt, Dagster, Airflow, or an equivalent
  • Strong general-purpose programming ability, primarily in TypeScript and Python
  • Experience building or operating production data pipelines, lakehouses, or warehouse systems
  • Knowledge of ETL processes, idempotency, watermarks, and backfills
  • Familiarity with auditability and fail-early, fail-explicitly system design
  • Comfort working with TypeScript services, ClickHouse, Postgres, and transformation tooling
  • Preferred experience includes ClickHouse, Iceberg, Athena, multi-tenant data isolation, PII handling, SOC 2 or audit controls, financial or accounting data, Temporal, or Inngest
  • Authorization to work in the United States
  • Willingness to work from San Francisco
  • LinkedIn profile and resume required

Priekšrocības

  • Equity compensation
  • Hybrid work arrangement
  • Significant creative ownership and influence over product direction
  • Collaborative, fast-paced team environment grounded in high integrity

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