Data Engineer (GTM)

TRACTIAN is transforming the industrial world by empowering frontline maintenance workers to achieve more. As a Data Engineer (GTM), you will architect and scale revenue data analytics and infrastructure, focusing on managing customer data lakes and automating workflows to enhance the GTM engine.

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, JavaScript/Node.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 LLM-based enrichment pipelines to intelligently augment account/contact metadata and drive predictive targeting
• Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration
• Develop semantic layers and star/snowflake schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, 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 high-cardinality indexing strategies for real-time 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 problem-solving skills and a bias for automation and scale
• Ability to collaborate across functions and communicate technical concepts to non-technical stakeholders
• Comfortable working autonomously in a fast-paced environment