Security Data Engineer [T500-19484]

About Marriott:

Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories.

Role Title: Security Data Engineer

Position Summary:

Marriott International’s Global Information Security is seeking a Data Engineer who can build and maintain the infrastructure and systems that collect, process, and store large amounts of security data for Marriott to use for security related analysis and decision-making.

Job Responsibilities:

• Implement and maintain scalable data pipelines using tools such as Cribl Stream and Splunk
• Develop and maintain ETL (Extract, Transform, Load) processes
• Ensure data quality and implement validation checks
• Automate data workflows and processes
• Work with distributed computing frameworks (e.g., Hadoop, Spark)
• Implement solutions for processing large-scale datasets
• Utilize cloud platforms (AWS, Azure) for data management
• Optimize data retrieval and query performance
• Build integrations with various data sources
• Ensure compatibility between different systems and platforms
• Implement data security controls and access management
• Maintain data integrity and reliability
• Work closely with security data scientists, analysts, and business stakeholders
• Translate business requirements into technical specifications
• Monitor and troubleshoot data system performance
• Implement optimizations for efficiency and scalability
• Ensure high availability of data resources

Skill and Experience:

• 2-4 years of data engineering, data analytics, data management, and/or information security experience that includes:
• 2+ years of experience in data engineering and/or data analytics in an enterprise environment
• 1+ years of experience in information protection / information security.
• Strong background in statistics, mathematics, and software engineering.
• Proficiency in Python, R, Java, or Scala
• Strong knowledge of SQL
• Expertise in relational databases (e.g., MySQL, PostgreSQL)
• Experience with NoSQL databases (e.g., MongoDB, Cassandra)
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data frameworks such as Hadoop, Spark, and Kafka
• Experience with ETL (Extract, Transform, Load) processes
• Proficiency in data pipeline development and optimization
• Knowledge of cybersecurity principles, tools, and best practices

Preferred:

• Programming languages: Python, R, SQL
• Big data technologies: Hadoop, Spark, and Kafka
• Cloud platforms: AWS, Azure, GCP
• Relevant certifications such as AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, or IBM Certified Data Engineer
• Experience with Security information and event management (SIEM) systems such as Splunk
• Experience with data pipeline management and data transformation tools such as Cribl
• Familiarity with MLOps practice
• Understanding of machine learning algorithms and AI applications in data engineering
• Verbal and written communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
• Experience working in Agile and Scrum methodologies

Education and Certifications:

• Bachelor’s degree in computer / data science, information management, Cybersecurity or related field or equivalent experience / certification

Work location:

Work mode: