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Data Engineer (GTM)

Roles & Responsibilities

  • Minimum 5 years of experience in data engineering, analytics, or data science, preferably in high-growth B2B SaaS.
  • Proficiency with API integrations and scripting languages like Python or Go.
  • Experience managing large datasets and transforming insights into actionable recommendations.
  • Strong problem-solving skills with a focus on automation and scalability.

Requirements:

  • Design and manage data pipelines and infrastructure for GTM systems.
  • Develop and maintain scripts and microservices to automate data workflows.
  • Build and oversee a unified GTM data lake for segmentation and analytics.
  • Collaborate with cross-functional teams to improve workflows and ensure data consistency.

Job description

GTM Engineering Team at TRACTIAN

At TRACTIAN the GoToMarket team is a global department that supports Tractian GTM teams across the US, Brazil, and Mexico. We are a foundational team that is building the data infrastructure, systems, and processes that support our GTM team and directly impact our customer experience.


What youll do

As a Data Engineer (GTM) at Tractian, you will architect and scale our revenue data analytics and infrastructure to supercharge our GTM engine. Your focus will be on managing a customer data lake, automating account enrichment and revenue workflows. This is a crossfunctional, highimpact role that blends data engineering, analytics, and GTM strategy with best of breed tools.

Responsibilities:
  • Architect and manage data pipelines and infrastructure for GTM systems, leveraging BigQuery, Clay, ZoomInfo, as well as cloud storage and ETL frameworks.
  • Develop, test, and maintain highly available scripts and microservices (Python, JavaScriptNode.js) to orchestrate data acquisition and processing workflows.
  • Design and manage a unified GTM data lake, merging raw and enriched datasets into a single source of truth for segmentation, ICP scoring, and territory assignments.
  • Incorporate LLMbased enrichment pipelines to intelligently augment accountcontact metadata and drive predictive targeting.
  • Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or PubSub, with Airflow orchestration.
  • Develop semantic layers and starsnowflake schemas for GTM analytics in dbt, ensuring BI tools query from preaggregated, materialized datasets.
  • Partner closely with RevOps, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools.
  • Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes.
  • Design and maintain highcardinality indexing strategies for realtime ICP scoring and territory assignment.

  • Requirements:
  • 5+ years of experience in a technical Data engineer, data analytics, or data science role—preferably in high growth B2B SaaS.
  • Comfort with API integrations and at least one scripting language (Python, Go) to automate and connect tools.
  • Experience managing large datasets and transforming GTM insights into tactical recommendations.
  • Excellent problemsolving skills and a bias for automation and scale.
  • Ability to collaborate across functions and communicate technical concepts to nontechnical stakeholders.
  • Comfortable working autonomously in a fastpaced environment.
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