Software Engineer, Data Platform

📋 Description

• Build and scale the datalake and storage design.
• Develop high-throughput data ingestion services at scale.
• Own streaming, batch ingestion, and CDC pipelines.
• Build query/analytics on the datalake beyond a traditional warehouse.
• Operate the low-latency serving layer for real-time access.
• Partner with infra and product teams to provision and scale the platform.

🎯 Requirements

• 3+ years in software engineering focused on data infra or large-scale distributed systems.
• Python proficiency; Go experience or willingness to ramp into Go.
• Experience with Spark, Kafka, or Flink; Iceberg familiarity.
• Experience building scalable data pipelines across structured and unstructured data.
• Strong fundamentals in distributed systems, storage, and cost/performance optimization.
• Nice to have: ClickHouse, DuckDB, GCP, Kubernetes, MySQL, MongoDB, Snowflake.

🎁 Benefits

• US-based benefits: medical, dental, and vision; 3% 401(k); unlimited PTO.
• UK-based benefits: private medical/dental; 6% pension; unlimited PTO; co-working stipend.
• Professional development stipend and wellness benefits.