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Job Overview

As a Data Engineer on the GTM Systems data foundations team, you'll help build that layer: the data products that give sellers, operators, and analysts a rich, current, and trusted picture of the market, and the engineering rigor that lets our GTM systems run…

Key points

  1. Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of…

  2. Build and maintain identity and entity resolution, so every source attaches to one trusted record for each company and the relationships between companies are…

  3. Help build the canonical layer where key attributes are defined once and mean the same thing everywhere, with clear sourcing logic, provenance, and freshness.

  4. Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act…

  5. Experience as a data engineer or analytics engineer building and operating production pipelines and data models.

  6. Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse.

  7. Experience making messy data from many sources usable, including record matching, deduplication, and reconciling conflicting values.

  8. Familiarity with go-to-market data and the CRM systems it flows through.

Skills

CRMProduct StrategyCommunicationPythonSQLLLMsETLSalesforce

Experience: Mid-level

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