<div><b>GTM Engineering Team at TRACTIAN</b></div><div><br /></div><div><span>At TRACTIAN the Go-To-Market 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. </span></div><div><br /></div><div><br /></div><div><b>What youll do</b></div><div><br /></div><div><span>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 cross-functional, high-impact role that blends data engineering, analytics, and GTM strategy with best of breed tools.</span></div><h3>Responsibilities:</h3><ul><li>Architect and manage data pipelines and infrastructure for GTM systems, leveraging BigQuery, Clay, ZoomInfo, as well as cloud storage and ETL frameworks.</li><li>Develop, test, and maintain highly available scripts and microservices (Python, JavaScript/<a href="http://Node.js">Node.js</a>) to orchestrate data acquisition and processing workflows.</li><li>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.</li><li>Incorporate LLM-based enrichment pipelines to intelligently augment account/contact metadata and drive predictive targeting.</li><li>Build and maintain batch &amp; streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration.</li><li>Develop semantic layers and star/snowflake schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, materialized datasets.</li><li>Partner closely with RevOps, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools.</li><li>Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes.</li><li>Design and maintain high-cardinality indexing strategies for real-time ICP scoring and territory assignment.</li></ul><h3>Requirements:</h3><ul><li>5+ years of experience in a technical Data engineer, data analytics, or data science role—preferably in high growth B2B SaaS.</li><li>Comfort with API integrations and at least one scripting language (Python, Go) to automate and connect tools.</li><li>Experience managing large datasets and transforming GTM insights into tactical recommendations.</li><li>Excellent problem-solving skills and a bias for automation and scale.</li><li>Ability to collaborate across functions and communicate technical concepts to non-technical stakeholders.</li><li>Comfortable working autonomously in a fast-paced environment.</li></ul><div><b>Compensation</b></div><div><br /></div><div><b>Competitive Salary</b></div><div><b>Premium Medical, Dental, and Vision Coverage</b></div><div><b>Paid Time Off (PTO): 15 Days</b></div><div><b>401(k) Retirement Plan</b></div><div><b>Language Learning Opportunities </b>- Take advantage of optional, fully funded Portuguese or Spanish courses to enhance your skills and global reach.</div><div><b>Gympass Membership</b> - Access a wide range of gyms and training programs.</div><div><b>Sports Incentive - </b>Receive a monthly bonus when you regularly participate in physical activities.</div><div><b>Long-Term Benefit </b>- After four years of service, earn a fully funded trip anywhere in the world.</div>