TRACTIANData Engineer (GTM)
GTM Engineering Team at TRACTIAN
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.
What you'll 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 cross-functional, high-impact 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, 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.
Compensation
Competitive Salary
Premium Medical, Dental, and Vision Coverage
Paid Time Off (PTO): 15 Days
401(k) Retirement Plan
Language Learning Opportunities - Take advantage of optional, fully funded Portuguese or Spanish courses to enhance your skills and global reach.
Gympass Membership - Access a wide range of gyms and training programs.
Sports Incentive - Receive a monthly bonus when you regularly participate in physical activities.
Long-Term Benefit - After four years of service, earn a fully funded trip anywhere in the world.