Staff Data Engineer, Okta

• You’re a team player
• You have great communications skills and a thirst for knowledge
• You’re curious about systems and how they interact, knowing that to properly defend a system you must first understand how it works
• You enjoy automating tasks and if you can’t find a tool for the job you create one
• You’re calm under pressure and have a good internal compass for taking calculated risks
• If you don’t have a degree, you have equivalent experience that’s given you the foundational knowledge to understand complex computing environments
• People want to work with you. You want to learn what it takes to build a world-class defensive cyber capability and you’re passionate about helping make ours stronger
• 10+ years of experience as Software Engineering with 5 years in Data Engineering
• Expert proficiency in SQL and Python, Snowflake and AWS
• Strong knowledge of data lake architectures, streaming data processing, and event-driven architectures
• Hands-on experience with cloud-native data tools

Desirable

• We safeguard Okta from threats and vulnerabilities that have the potential to disrupt our business or degrade our customers’ trust in us
• In addition to driving security in our enterprise environment and Okta service, the Security team is deeply entrenched in the Okta business
• The team contributes to product roadmaps, promoting trust, research and other strategic aspects of Okta’s operations
• We work across multiple functions, business partners and the research community. We are an engineering-focused team that seeks to stay on the cutting edge of security technology and the threat landscape
• Okta is seeking a Staff Data Engineer to take on a key role within Okta’s Cyber Defense team, reporting to the Director of Defensive Cyber Engineering
• You will be responsible for building and maintaining scalable security data pipelines, ensuring data quality and governance, and enabling advanced security analytics
• You will have the opportunity to work closely with detection and response engineers, threat researchers, adversarial engineers and platform teams to enhance data-driven security operations
• Develop and maintain ETL/ELT pipelines for onboarding security data into Okta’s security data lake
• Work with security teams to integrate log sources and ensure seamless data ingestion
• Build and maintain scalable, fault-tolerant data pipelines to process security event data
• Optimize data storage, transformation, and retrieval for real-time and batch security analytics ensuring performance, scalability, and cost efficiency
• Evaluate and implement new data processing frameworks and cloud-native technologies
• Define and implement data quality metrics, lineage tracking, and observability tools
• Develop automated data validation, schema enforcement, and anomaly detection mechanisms
• Ensure compliance with security and privacy regulations related to logging and data storage
• Troubleshoot data issues, inconsistencies, and latency concerns
• Partner with Cyber Defense teams to build advanced analytics models for threat detection and security insights
• Enable security data science and machine learning initiatives by structuring and enriching datasets
• Automate workflows to reduce operational overhead and improve security decision-making
• Participate in post-incident reviews, identifying areas for improvement and implementing reliability enhancements
• Stay up to date with best practices in data engineering, analytics, and threat detection to enhance operational effectiveness