Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer, Go to Market based in the United States.
This is a high-impact data engineering role focused on building and scaling the foundational data systems that power Go-to-Market analytics across Sales, Marketing, and Revenue operations. You will design robust data pipelines and models that transform complex marketing and customer data into trusted, actionable insights. The role sits at the intersection of engineering and business, requiring close collaboration with stakeholders to translate GTM needs into scalable technical solutions. You will work with modern data stack tools to ensure data accuracy, reliability, and performance across all pipelines. This position offers the opportunity to directly influence strategic decision-making through high-quality data infrastructure. It is ideal for an engineer who enjoys ownership, autonomy, and solving real-world business problems through data. The environment is fast-paced, collaborative, and highly focused on measurable business impact.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer, Go to Market based in the United States.
This is a high-impact data engineering role focused on building and scaling the foundational data systems that power Go-to-Market analytics across Sales, Marketing, and Revenue operations. You will design robust data pipelines and models that transform complex marketing and customer data into trusted, actionable insights. The role sits at the intersection of engineering and business, requiring close collaboration with stakeholders to translate GTM needs into scalable technical solutions. You will work with modern data stack tools to ensure data accuracy, reliability, and performance across all pipelines. This position offers the opportunity to directly influence strategic decision-making through high-quality data infrastructure. It is ideal for an engineer who enjoys ownership, autonomy, and solving real-world business problems through data. The environment is fast-paced, collaborative, and highly focused on measurable business impact.