Data Engineer (GTM)

GTM Engineering Team at TRACTIAN

At TRACTIAN the GTM Engineering 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, manage, and scale our revenue analytics and systems infrastructure to supercharge GTM execution. Your focus will be on ensuring data integrity across systems, building reliable data pipelines for account enrichment, automating revenue workflows, and delivering actionable insights across the sales, marketing, and customer success functions. This is a cross-functional, high-impact role that blends engineering, analytics, and GTM strategy.

Responsibilities:

Architect and manage data pipelines and infrastructure for GTM systems, leveraging Clickhouse, 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 RevEng, 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:

3+ years of experience in a technical GTM Systems, Data Engineering, or Analytics engineering role, preferably in high growth B2B SaaS.

Hands-on experience with CRM and GTM systems like HubSpot, Clay, ZoomInfo, and other data platforms.

Strong experience in writing SQL and using BI/reporting tools like Looker, Tableau, or HubSpot Reports.

Comfort with API integrations and at least one scripting language (Python, JavaScript) 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.

Aligns with our mission and values of Tractian