Data Engineer, Business Units - Go

What you'll do

• Build and maintain Databricks pipelines and datasets for product events, user activity, and agent interactions.
• Partner with Product, Engineering, and Data Science to define metrics, improve event logging, and ensure reliable downstream data.
• Connect product usage with customer and account data; maintain accurate datasets, tests, monitoring, and performance.

What they ask for

• 2+ years building and operating production data pipelines.
• High proficiency in SQL and experience with transformations in a lakehouse or cloud data warehouse such as Databricks or Snowflake.
• Knowledge of data modeling and warehouse design, including creating understandable, reusable tables.
• Experience with workflow orchestration, version control, and deployment practices for data pipelines; use AI-assisted development tools and validate generated code.

Nice to have

• Experience with Python and/or Spark for data transformations, pipelines, or automation.
• Experience in product or growth analytics, event logging, AI products, or building self-service dashboards.

Pay

$117K – $205K • Multiple Ranges (base pay; currency not stated)

Tools

SQL, Databricks, Snowflake, Databricks Workflows, Airflow, Git, Codex, Claude Code

AI focus

Uses AI-assisted development tools to produce code and is responsible for testing and validating it; builds data to measure Go’s AI assistant and agent usage.