Staff Data Engineer

📋 Description

• Design, build, and maintain scalable data pipelines
• Architect data models for analytics and ops
• Collaborate with data scientists, analysts, and engineers
• Own parts of data platform (Airflow, dbt, Spark, Redshift/Snowflake)
• Implement observability and data quality monitoring

🎯 Requirements

• 8+ years in data engineering or similar
• Python, Scala, or Java
• NoSQL columnar stores (e.g., HBase)
• Distributed systems: Spark, Kafka, Flink
• Complex SQL and production ETL/ELT
• Workflow orchestration tools (Airflow, Dagster)

🎁 Benefits

• Data with purpose: impact on secure software
• Modern tooling with open-source and cloud-native tech
• Collaborative culture with autonomy and impact