Data Engineer (GTM)

This position is posted by Jobgether on behalf of TRACTIAN 𝗕𝗥. We are currently looking for a Data Engineer (GTM) in Georgia (USA).

This role is perfect for a data-savvy professional who thrives at the intersection of engineering, analytics, and business strategy. As a Data Engineer (GTM), you will design, build, and maintain the data infrastructure that powers revenue operations, sales workflows, and GTM insights. You will manage a unified customer data lake, automate account enrichment processes, and implement scalable solutions that directly enhance the efficiency and effectiveness of GTM teams. This position offers high visibility, cross-functional collaboration, and the opportunity to influence strategic decisions while working in a fast-paced, global environment. Success in this role is measured by the quality, accessibility, and actionable insights of the GTM data infrastructure you help maintain.

Accountabilities

• Architect and maintain data pipelines, ETL workflows, and cloud-based GTM data infrastructure using tools like BigQuery, Clay, and ZoomInfo.
• Develop, test, and deploy scripts and microservices in Python or JavaScript / Node.js for data acquisition and workflow automation.
• Build and manage a unified GTM data lake, merging raw and enriched datasets to create a single source of truth for segmentation, ICP scoring, and territory assignments.
• Implement LLM-based enrichment pipelines to improve account and contact metadata, supporting predictive targeting and sales intelligence.
• Create and maintain batch and streaming ingestion pipelines using Apache Beam, Kafka, or Pub / Sub, orchestrated with Airflow.
• Design semantic layers and star / snowflake schemas in dbt to optimize analytics and BI reporting.
• Collaborate with RevOps, Enablement, and Sales Leadership to define KPIs, ensure data consistency, and improve seller workflows.
• Identify opportunities for automation and scalable solutions across GTM processes.
• 5+ years of experience in data engineering, data analytics, or data science, preferably within high-growth B2B SaaS environments.
• Proficiency in at least one scripting language (Python, Go) and experience with API integrations.
• Hands-on experience managing large datasets and deriving GTM insights for tactical decision-making.
• Strong problem-solving skills with a bias toward automation and scalable solutions.
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.
• Comfortable working autonomously in a fast-paced, cross-functional environment.
• Experience with tools like Airflow, Apache Beam, Kafka, BigQuery, dbt, and cloud storage solutions is preferred.
• Competitive salary package.
• Premium Medical, Dental, and Vision coverage.
• Paid Time Off (15 days).
• 401(k) retirement plan.
• Fully funded optional language courses (Portuguese or Spanish).
• Gympass membership and monthly sports incentives.
• Long-term reward : fully funded trip after four years of service.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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