RipplingSeattle, WABuild an end-to-end analytics and business intelligence Data Cloud platform at Rippling, replacing customer data lakes, warehouses, and pipelines with integrated ingestion, transformation, lineage, catalogs, and visualization. Develop large-scale data systems using Python, Trino, Iceberg and Temporal; explore ML/LLMs for automated insights.
Lead data engineering and analytics engineering teams to design and own ETL/ELT pipelines, data modeling, quality, and governance. Requires 10+ years data engineering experience including 4+ years managing teams, deep expertise in SQL/Python/modern data stack, and partnering with DS/Product/Eng.
Develops distributed data systems like Apache Spark and Delta Lake at massive scale, ensuring high performance and reliability for exabyte-scale workloads. Requires 8+ years in Java/Scala/C++ and deep distributed systems expertise.
Build scalable data infrastructure for ML training and evaluation in autonomous driving, including batch/streaming pipelines, storage systems, dashboards, monitoring, data mining, and annotation tools. Requires 4+ years experience, Python proficiency, and engineering leadership.
Build scalable data platforms for autonomous driving ML systems, including batch/streaming pipelines, storage, dashboards, and monitoring. Requires 4+ years experience in large-scale data systems, Python/C++, and engineering leadership.
Staff Software Engineer building and scaling Okta's high-volume, low-latency Data Platform for streaming analytics, ML, and telemetry using technologies like Kafka, Flink, and Snowflake. Requires 8+ years experience with distributed systems and Java; U.S. Person status required for FedRAMP.