Job Url: https://careers.tractian.com/jobs/6e2c45c6-d878-41a7-9676-f8fb16fd22df?src=Linkedin

Job Description: Data Engineer (GTM)
GTM Operations

Engineering

Atlanta, GA

Remote

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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:
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Architect and manage data pipelines and infrastructure for GTM systems, leveraging BigQuery, Clay, ZoomInfo, as well as cloud storage and ETL frameworks.

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Develop, test, and maintain highly available scripts and microservices (Python, JavaScript/Node.js) to orchestrate data acquisition and processing workflows.

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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.

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Incorporate LLM-based enrichment pipelines to intelligently augment account/contact metadata and drive predictive targeting.

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Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration.

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Develop semantic layers and star/snowflake schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, materialized datasets.

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Partner closely with RevOps, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools.

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Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes.

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Design and maintain high-cardinality indexing strategies for real-time ICP scoring and territory assignment.

REQUIREMENTS:
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5+ years of experience in a technical Data engineer, data analytics, or data science role—preferably in high growth B2B SaaS.

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Comfort with API integrations and at least one scripting language (Python, Go) to automate and connect tools.

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Experience managing large datasets and transforming GTM insights into tactical recommendations.

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Excellent problem-solving skills and a bias for automation and scale.

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Ability to collaborate across functions and communicate technical concepts to non-technical stakeholders.

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Comfortable working autonomously in a fast-paced environment.

COMPENSATION & BENEFITS
• Competitive Salary

• Premium Medical, Dental, and Vision Coverage

• Paid Time Off (PTO): 15 Days, plus 11 paid holidays

• 401(k) Retirement Plan, 1% match

• 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.