Analytics Engineer

Cartesia
San Francisco
Workplace: OnsiteFull timeUSD 180,000 - 250,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Stakeholder management","Data quality troubleshooting","Judgment","Low-ego collaboration","End-to-end investigation"]

Build and own Cartesia’s company-wide source of truth by connecting source systems to canonical datasets, metrics, and trusted dashboards. Fix data-quality issues end-to-end, strengthen warehouse transformations with SQL and dbt, and establish metric definitions with tests, lineage, freshness monitoring, and documentation. Partner with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable models and enable self-serve analytics with reusable logic.

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FursaFursa
Cartesia
Cartesia
18 hours ago

Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and own Cartesia’s company-wide source of truth by connecting source systems to canonical datasets, metrics, and trusted dashboards. Fix data-quality issues end-to-end, strengthen warehouse transformations with SQL and dbt, and establish metric definitions with tests, lineage, freshness monitoring, and documentation. Partner with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable models and enable self-serve analytics with reusable logic.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own the path from source systems to canonical datasets, metrics, and dashboards.
  • •Identify and fix data-quality issues across pipelines, models, definitions, and reporting surfaces.
  • •Build and maintain reliable warehouse models using SQL and dbt (or equivalent tooling).
  • •Establish metric definitions with tests, lineage, freshness monitoring, documentation, and ownership.
  • •Partner with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable data models and create trusted dashboards for core metrics.

Pay and Benefits

Salary: USD 180,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionParental Leave401kCommuter BenefitsPaid LeaveMeal Allowance

Key Requirements

  • •5+ years in analytics engineering, data engineering, or a technically rigorous analytics role, ideally in B2B SaaS or developer tools.
  • •Expert SQL and strong warehouse modeling fundamentals, including dimensional modeling, historization, and identity resolution.
  • •Production experience with dbt (or equivalent) including testing, orchestration, monitoring, lineage, and documentation.
  • •Track record of turning fragmented data and competing definitions into canonical, reusable models.
  • •Experience working across product, billing, CRM, and marketing data, with self-serve funnel analytics experience valued.
Experience:B2B SaaSDeveloper tools
Skills:Stakeholder managementData quality troubleshootingJudgmentLow-ego collaborationEnd-to-end investigation
Tech Stack:SQLDbtWarehouse modelingDimensional modelingIdentity resolutionETLDashboardsLineageOrchestrationMonitoringDocumentationLLM-powered analytics

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Cartesia
Builds real-time multimodal and voice AI (Sonic) that generates expressive, low-latency speech for conversational agents and on-device experiences, serving developers and enterprises with APIs and SDKs.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2023
WebsiteLinkedInGlassdoor