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Data Engineer (GTM)

TRACTIAN

TRACTIAN

Data Science
Posted 6+ months ago

Why join us

TRACTIAN is transforming the industrial world by empowering frontline maintenance workers to achieve more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients.

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, plus 11 paid holidays

  • • 401(k) Retirement Plan, 1% match

  • • Language Learning Opportunities - Take advantage of optional, fully funded Spanish or Portuguese 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.

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