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Analytics Engineer – Build Company-wide Data Source of Truth

cartesia · San Francisco

Senior 🇬🇧 English
SQL dbt dimensional modeling historization identity resolution testing orchestration monitoring lineage documentation

Job description

About the role

We’re hiring an Analytics Engineer to build and own Cartesia’s company‑wide source of truth. You’ll bring together product, billing, CRM, marketing, and operational data into reliable models and shared metric definitions that teams can trust.

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 clear metric definitions, tests, lineage, freshness monitoring, documentation, and ownership.
  • Partner with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable data models.
  • Create trusted dashboards for core company metrics such as activation, usage, billing, customer health, and marketing performance.
  • Make common data questions self‑serve while ensuring dashboards reuse canonical logic.
  • Audit the existing data stack and recommend pragmatic improvements or overhauls to ETL and analytics tooling.

Required profile

  • 5+ years in analytics engineering, data engineering, or a technically rigorous analytics role, preferably in a B2B SaaS or developer‑tools environment.
  • Proven ability to turn fragmented data and competing definitions into canonical, reusable models.
  • Strong judgment about where problems belong—source system, pipeline, warehouse model, semantic layer, or dashboard.
  • Experience investigating end‑to‑end discrepancies and preventing recurrence.
  • Low‑ego, practical approach: fix urgent issues while building a durable foundation.

Required skills

  • Expertise in SQL.
  • Production experience with dbt or similar transformation tooling.
  • Warehouse modeling fundamentals: dimensional modeling, historization, identity resolution.
  • Testing, orchestration, monitoring, lineage, and documentation of data pipelines.

What we offer

  • Competitive base salary plus attractive equity package.
  • Fully covered medical, dental, and vision insurance for you and your family.
  • Parental leave: 9 weeks paternity, 12 weeks maternity.
  • 401(k) retirement plan.
  • Monthly commuter allowance.
  • Flexible PTO, meals, snacks, and a personal Yoshi.

Questions fréquentes

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Source : ats:ashby

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Published 1 week ago

Expires 1 month from now

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cartesia

San Francisco