Software Engineer III/Senior, Data Platform

ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. They are seeking a Software Engineer III/Senior for their Data Platform team to build and maintain data pipelines and systems that ensure accurate reporting and decision-making across the organization.

Responsibilities:

• Build the data backbone: You’ll design and evolve the pipelines and orchestration systems that move data across ngrok - from product events to financial reporting. Ingestion, transformation, modeling, reliability. The foundation everything else depends on
• Make the numbers make sense: You’ll own core business and product datasets - usage, revenue, growth, performance-and ensure they’re accurate, reconciled, and trusted. No mystery metrics. No “why doesn’t this match?” Slack threads
• Turn raw events into decision-ready insight: You’ll build and refine the models that power dashboards, planning, forecasting, and experimentation. Clean schemas. Durable definitions. Metrics people actually align on
• Raise the bar on data reliability: You’ll implement validation, testing, observability, and monitoring across our data systems. Pipelines shouldn’t silently fail. Dashboards shouldn’t drift. Finance shouldn’t find surprises
• Own the platform as it scales: You’ll improve performance, cost efficiency, and architectural design across our data stack (Airbyte, Dagster, dbt, Athena, Flink, Superset, and beyond). As traffic and customers grow, the data platform keeps up
• Partner across the company: You’ll work closely with Product, Engineering, GTM, Finance, and Leadership. They’ll have hard questions. You’ll build the systems that make those answers obvious

Requirements:

• You're familiar with Python, SQL, and Scala
• You're also comfortable in a language such as Go, Rust, C++, or Java (with bonus points for Go)
• You're comfortable writing production-quality code and treating data systems like real software-not just queries in a notebook
• You're interested in AWS infrastructure and Kubernetes, managed through Infrastructure as Code (Terraform or similar) — not click ops
• You've built and operated large-scale event streams, product telemetry, or high-volume ingestion pipelines in production
• You enjoy thinking about data models, invariants, lineage, and failure modes
• You care about data quality and observability, and you design systems that make errors visible-not silent
• You're the person people ping when the numbers don't add up-and you actually enjoy figuring out why
• Usage-based billing, metering, revenue, or financial reporting systems
• Event-driven or streaming data architectures
• Customer-facing dashboards or internal executive reporting