[Remote] Security Data Engineer

Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Security Data Engineer to join their team in Costa Mesa, California, potentially in a permanent role. The position focuses on enhancing a data lake environment by improving the data ingestion layer and ensuring the reliable movement of security-relevant data.

Responsibilities

• Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets
• Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows
• Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations
• Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed
• Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem
• Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion
• Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets
• Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations

Skills

• Experience building and supporting data pipelines in a data lake or large-scale data engineering environment
• Strong programming skills in Python and hands-on experience with Apache Spark, Apache Hadoop, Apache Kafka, and ETL development
• Practical knowledge of Amazon Web Services (AWS) and infrastructure automation tools such as AWS CDK and Infrastructure as Code frameworks
• Experience maintaining pipeline reliability, troubleshooting ingestion issues, and improving operational stability in production environments
• Ability to work directly with internal stakeholders to locate source data, obtain access, and move integrations forward
• Familiarity with data analysis and data cleaning techniques that improve downstream usability and trust in datasets
• Exposure to CI/CD practices and deployment automation for data engineering workflows
• Additional programming experience in Rust or Go is preferred

Benefits

• Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance.
• Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan.

Company Overview