Cyber Security Engineer III (Remote NC, AZ, TX)

• Understand business requirements and existing system designs, security applications and guidelines, etc.
• Work with various SME’s in understanding business process flows, functional requirements specifications of existing system, their current challenges and constraints and future expectation.
• Streamline the process of sourcing, organizing data (from a wide variety of data sources using Python, PySpark, SQL, Spark) and accelerating data for analysis.
• Support the data curation process by feeding the data catalog and knowledge bases.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing the data products for consumption.
• Work with data and analytics experts to strive for greater functionality in the data systems.
• Clearly articulate data stories using data science, advanced statistical analysis, visualization tools, written and oral communication.
• Manage technical, analytical, and business documentation on all data efforts.
• Engage in hands on development and work with both onsite and offsite leads and engineers.

This position ensures the technological and digital security of the Bank at a high level of ability and technical expertise. Mitigates exposure to cyber threats, security risks, and unauthorized access. Assesses organizational networks, applications, or systems for potential vulnerabilities. Protects assets and information through a variety of methods, resolving security issues or incidents as they arise. Maintains a strong knowledge of industry practices, technology, and evolving threats in order to enhance defenses for the Bank’s information systems and resources. May oversee less experienced associates in the work group., Minimum Required Education and Experience: Bachelor’s Degree and 6 years’ experience OR High School Diploma or GED/Equivalent and 10 years’ experience in Systems Engineering, Network, or Information Security, * 7+ years of experience in building data engineering pipelines on both on-premise and cloud platforms (Snowflake, AWS)

• 7+ years of experience in developing Python based data-applications to support data ingestion, transformation, data visualizations (plotly, streamlit)
• Strong experience programming/scripting in Python, PySpark, SQL and building resilient data pipelines, automations and observability
• Knowledge of Cybersecurity, IT infrastructure and Software concepts.
• 5+ years of hands on experience using cloud data engineering, lakes, distributed compute and data processing
• 3+ years of developing data visualizations using Tableau, Plotly, Streamlit, PowerBI
• Experience with ELT/ETL tools like DBT, DataBahn, Airflow, Cribl, Glue, FiveTran, AirByte, etc.
• Experience on capturing incremental data changes, streaming data ingestion and stream processing.
• Experience in processes supporting data governance, data structures, metadata management.
• Solid grasp of data and analytics concepts and methodologies including data science, data engineering, and data story-telling