Data Engineer, Go-To-Market

The role

This individual contributor role sits within the data organization and focuses on creating trusted datasets for marketing and sales analysis. The engineer connects product telemetry with business platforms and works alongside revenue, analytics, and data science partners to make reporting dependable as the company grows.

What you would do

• Construct central datasets that act as the authoritative reference for marketing and sales metrics
• Combine information from internal business applications with product usage data
• Work with marketing, sales, revenue operations, and BI groups to address reporting needs
• Create pipelines that remain reliable and can handle increasing data volume
• Track pipeline health and performance over time
• Make high-quality data easier for go-to-market teams and the wider company to use

What they asked for

• Three or more years in a data engineering capacity, ideally in high-volume product or business settings
• Prior experience with marketing and sales data at a software company
• Built integrations with CRM, ERP, marketing automation, and support systems
• Hands-on delivery of scalable cloud data solutions across several storage technologies
• Strong command of SQL, including advanced query patterns and performance tuning
• Comfortable writing object-oriented code in a language such as Python, Java, or Scala
• Proactively gathers needs from stakeholders and communicates tradeoffs and timelines
• Willingness to adopt AI tooling to work more efficiently

Nice to have

• Experience building large-scale pipelines with big data frameworks such as Airflow, dbt, or Spark
• Previous work with go-to-market stakeholders
• Experience at a fast-growing company or current use of the product