Cyber Security Engineer III
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Before you apply
LocationNCSDAC-Data Center, United States
Work moderemote
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentInformation Security
Company size10,000+ people
First seenNov 3, 2026 · 3d ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
Skills
Python
PySpark
SQL
Spark
Snowflake
AWS
plotly
streamlit
Tableau
PowerBI
DBT
DataBahn
Airflow
Cribl
Glue
FiveTran
AirByte
Overview
This role can be hired remotely in NC, AZ, VA and TX.
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.
Responsibilities & Qualifications
Duties & Responsibilities:
•
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.
Requirements
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
Preferred Qualifications:
•
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
Additional Information
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
Duties & Responsibilities:
•
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.
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
Preferred Qualifications:
•
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
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