Data Engineer

📋 Description

• Build and maintain reliable data pipelines and ETL/ELT workflows
• Develop and optimize data models for analytics and internal tools
• Work with team members to deliver clean, trusted datasets
• Support core data platform tools like Spark and AWS (S3, SNS, SQS, ECS/Fargate, EMR)
• Monitor data pipelines for quality, performance, and reliability
• Write clear documentation and contribute to test coverage and CI/CD processes

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical
• 2–4 years of experience in data engineering or a backend data-related role
• Strong skills in Java, Scala, or another backend programming language
• Python (PySpark/pandas) skills
• Experience with SQL and distributed data systems (e.g., Spark, Kafka, SQS)
• Familiarity with NoSQL stores like Cassandra, HBase, or similar

🎁 Benefits

• Work on data that supports meaningful software security outcomes
• Modern tools in a cloud-first, open-source-friendly environment
• A team that values clarity, learning, and autonomy
• Parental leave, diversity and inclusion working groups, and flexible working practices
• Equal opportunity employer