Software Engineer, Data Platform

Numeric

. Build and operate the financial data plane for Numeric’s accounting data platform .

Posted 10/2/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $125,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating financial data platforms, with a strong focus on data ingestion, processing, and architecture. Proficient in SQL, TypeScript, and modern data transformation tools, while ensuring data correctness and compliance in financial contexts.

Highest-signal resume keywords

SQL ExpertiseTypeScript ProgrammingData Pipeline DevelopmentData Transformation ToolsFinancial Data Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLTypeScriptPythonData IngestionBatch ProcessingEvent-Driven WorkflowsData ContractsColumnar StoresETL ProcessesData Observability

Tools & Technologies

ClickHousePostgresSQLMeshDbtDagsterAirflowS3BrexRampHubSpot

Industry Keywords

Financial DataAccounting DataData LakehouseData WarehouseAuditabilitySOC 2PII HandlingMulti-Tenant Data IsolationData TraceabilityFail-Explicitly Design

Tech Stack

Tools & technologies

AirflowPostgresPythonSQLTypeScript

About the role

Key responsibilities & impact

Build and operate the financial data plane for Numeric’s accounting data platform
Develop scalable ingestion from NetSuite, Stripe, Brex, Ramp, HubSpot, S3 inboxes, and Postgres into ClickHouse
Enforce data contracts and typed schemas at data boundaries
Manage lakehouse schemas through declare, code generation, and apply pipelines
Build query scoping and ACLs to protect customer data
Develop batch processing and event-driven accounting workflows
Improve data correctness, observability, ingestion health, re-ingestion, and traceability from ledger entries to raw events
Build scalable reporting query patterns and materializations
Collaborate with accounting module engineers, reporting teams, and AI-agent teams
Learn the accounting domain and influence product direction while owning architecture end to end

Requirements

What you’ll need

3+ years of software engineering experience with meaningful time on data-intensive systems
Strong SQL and working understanding of columnar stores, partitioning, and query performance
Experience with a modern transformation/orchestration stack such as SQLMesh, dbt, Dagster, Airflow, or similar
Strong general-purpose programming skills, primarily TypeScript with Python
Experience building or operating production data pipelines, lakehouses, or warehouse systems
Knowledge of ETLs, idempotency, watermarks, and backfills
Familiarity with auditability and fail-early, fail-explicitly design
Comfort with TypeScript services, ClickHouse, Postgres, and transformation tooling
Nice to have: ClickHouse, Iceberg, Athena, multi-tenant data isolation, PII handling, SOC 2/audit-driven controls, financial/accounting data, Temporal, or Inngest
Must be authorized to work in the US
Must be comfortable working from San Francisco
LinkedIn profile and resume required

Benefits

Comp & perks

Equity
Hybrid work arrangement
Substantial creativity and agency over product direction
Collaborative, high-pace, high-integrity team environment