Staff Data Engineer

📋 Description

• Design data solutions across batch, streaming, and real-time workloads.
• Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA.
• Contribute to the evolution of data lake and data platform, including ingestion, processing
• Build, maintain and scale cloud data infrastructure that includes Kafka, Airflow, Druid, EMR on EKS
• Implement and improve data quality, observability, reliability, and governance across data
• Define and improve standards for event instrumentation and governance, including event schemas

🎯 Requirements

• BA/BS degree or equivalent experience
• 5+ years of experience in data engineering, building and operating production data pipelines and
• Strong experience with Spark and distributed data processing, including designing and optimizing
• Experience designing batch, real-time, and streaming data solutions using technologies such as
• Experience implementing data quality, observability, and reliability across production data systems.
• Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code.

🎁 Benefits

• Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing
• Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for
• Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+
• Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help
• Wellness for the whole you. Access to mental health resources, therapy and coaching.
• Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and