• Optimize data workloads at a software level by improving processing efficiency.
• Independently tackle problem statements and bring solutions to life.
• Develop new data processing routes to remove redundancy or reduce transformation overhead.
• Monitor and maintain existing data workflows.
• Use monitoring and observability best practices to ensure pipeline performance remains high.
• Perform complex transformations on both real time and batch data assets.
• Create new ML/Engineering solutions to tackle existing issues in the cybersecurity space.
• Leverage CI/CD best practices to effectively develop and release source code.

Required Qualifications

• Strong programming and technology knowledge in cloud data processing.
• Spark experience is needed, existing Databricks knowledge is a plus.
• Technical understanding of underlying systems and computation minutiae.
• Experience working with distributed systems and data processing on object stores.
• Ability to work autonomously
• Data warehousing and Data Lakes for analytics use cases
• Highly proficient in Python (or another object oriented language)
• Distributed processing framework experience

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Preferred Qualifications

• Interest and aptitude for cybersecurity; interest in identity security is highly preferred.
• Highly Preferred: Spark
• Highly Preferred: Realtime processing experience.
• Ideal: Some experience with graph data stores

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

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We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.