We’re looking for a passionate Data Engineer II to help build and scale the data platform that powers analytics, product insights, and data-driven decision making across the organization.
You’ll work on modern data technologies including Kafka, Maxwell, Spark, S3, Trino, BigQuery, dbt, and Metabase to build reliable, scalable, and high-performance data systems. From real-time data ingestion and distributed data processing to dimensional modeling and data platform development, you’ll play a key role in shaping the foundation of our data ecosystem.
As part of the Data Engineering team, you’ll design and build robust data pipelines, implement modern data lake architectures, develop reusable data models, and create trusted datasets that empower Product, Analytics, Data Science, and Business teams. You’ll also contribute to improving our engineering standards by focusing on performance, reliability, observability, automation, and developer experience.
This role is ideal for someone who enjoys solving complex data engineering challenges, building scalable platforms, and continuously improving how data is collected, transformed, and consumed across the organization.
If you’re excited about building modern data platforms, working with large-scale distributed systems, and having a meaningful impact on the company’s data strategy, we’d love to hear from you.