NTT DATA Services· enterprise· Oct 5, 2026 · 23d ago
Charlotte, NC, US
Location
In office
Work mode
Full-time
Schedule
Senior
Level
$120K–$176K est.
Estimated compensation
5+ years exp
Experience
Job description
Req ID: 386062
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer - Cybersecurity Analytics - Onsite to join our team in Charlotte, North Carolina (US-NC), United States (US).
Data Engineer – Cybersecurity Analytics
Position Summary
We are seeking an experienced Data Engineer – Cybersecurity Analytics to design, develop, and support scalable cloud-based data solutions that enable cybersecurity analytics, reporting, and operational intelligence.
The ideal candidate will have strong hands-on experience with AWS Glue, Snowflake, AWS S3, Terraform, Python, SQL, Spark, and Kafka , along with a solid understanding of data security, governance, and enterprise data engineering practices. This role will work closely with cybersecurity, DevOps, QA, and application teams to build secure, reliable, and high-performing data pipelines and platforms.
Key Responsibilities
• Design, develop, maintain, and optimize AWS Glue ETL pipelines for ingesting and transforming cybersecurity data from multiple sources.
• Design and implement scalable Data Lake and Data Warehouse solutions using AWS S3, Snowflake, and other cloud-native technologies.
• Develop and maintain Infrastructure-as-Code (IaC) using Terraform to automate cloud infrastructure provisioning and environment deployments.
• Build and optimize Snowflake data models, stored procedures, and SQL queries to support analytics, reporting, and large-scale data processing.
• Develop and maintain RESTful API integrations for secure data ingestion and communication between applications and backend data platforms.
• Implement Apache Kafka solutions for real-time streaming, event-driven data ingestion, and ETL workflows.
• Develop, maintain, and troubleshoot SSIS packages supporting batch processing, data integration, and migration activities.
• Monitor production data pipelines, troubleshoot failures, resolve performance issues, and support application and release deployments.
• Apply data security and governance practices, including encryption, IAM, RBAC, access controls, and compliance requirements .
• Collaborate with cybersecurity, DevOps, QA, application development, and other cross-functional teams to deliver secure, scalable, and reliable data solutions.
• Participate in architecture and design reviews, code reviews, security assessments, and technical discussions to improve engineering standards and operational efficiency.
• Contribute to Agile/Scrum ceremonies, including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
Basic Qualifications
• 5+ years of experience in cloud-based Data Engineering and Big Data processing environments.
• 3+ years of hands-on experience developing, orchestrating, and monitoring AWS Glue ETL pipelines .
• 3+ years of experience using Terraform for Infrastructure-as-Code and cloud environment automation.
• 4+ years of experience designing and supporting Data Warehouses and Data Lakes , with experience in AWS S3, Snowflake, or similar technologies.
• 3+ years of hands-on experience with Snowflake , including data modeling, query optimization, and performance tuning.
• 2+ years of experience with Apache Kafka for real-time streaming, event-driven architectures, and data integration.
• 3+ years of experience with SQL, Python, and Spark for large-scale data transformation and analytics.
• 2+ years of experience developing and consuming RESTful APIs , including JSON, OAuth, API keys, and related authentication mechanisms.
• 2+ years of experience developing, maintaining, and debugging SSIS packages .
• Strong understanding of cloud security, encryption, IAM, RBAC, data governance, and secure data management practices .
• Experience troubleshooting and supporting production data pipelines , including both batch and real-time processing environments.
• Experience working in Agile/Scrum environments and collaborating effectively with cross-functional technical teams.
Education
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field , or equivalent professional experience.
Pay Transparency
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $106,840 -$160,250. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, us.nttdata.com .
NTT DATA endeavors to make us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at us.nttdata.com . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
#LI-NorthAmerica
Requirements
Must-haves
Req ID: 386062
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer - Cybersecurity Analytics - Onsite to join our team in Charlotte, North Carolina (US-NC), United States (US).
Data Engineer – Cybersecurity Analytics
We are seeking an experienced Data Engineer – Cybersecurity Analytics to design, develop, and support scalable cloud-based data solutions that enable cybersecurity analytics, reporting, and operational intelligence.
Design, develop, maintain, and optimize AWS Glue ETL pipelines for ingesting and transforming cybersecurity data from multiple sources.
Design and implement scalable Data Lake and Data Warehouse solutions using AWS S3, Snowflake, and other cloud-native technologies.
Develop and maintain Infrastructure-as-Code (IaC) using Terraform to automate cloud infrastructure provisioning and environment deployments.
Build and optimize Snowflake data models, stored procedures, and SQL queries to support analytics, reporting, and large-scale data processing.
Develop and maintain RESTful API integrations for secure data ingestion and communication between applications and backend data platforms.
Implement Apache Kafka solutions for real-time streaming, event-driven data ingestion, and ETL workflows.
Develop, maintain, and troubleshoot SSIS packages supporting batch processing, data integration, and migration activities.
Monitor production data pipelines, troubleshoot failures, resolve performance issues, and support application and release deployments.
Apply data security and governance practices, including encryption, IAM, RBAC, access controls, and compliance requirements .
Collaborate with cybersecurity, DevOps, QA, application development, and other cross-functional teams to deliver secure, scalable, and reliable data solutions.
Participate in architecture and design reviews, code reviews, security assessments, and technical discussions to improve engineering standards and operational efficiency.
Contribute to Agile/Scrum ceremonies, including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
5+ years of experience in cloud-based Data Engineering and Big Data processing environments.
3+ years of hands-on experience developing, orchestrating, and monitoring AWS Glue ETL pipelines .
3+ years of experience using Terraform for Infrastructure-as-Code and cloud environment automation.
4+ years of experience designing and supporting Data Warehouses and Data Lakes , with experience in AWS S3, Snowflake, or similar technologies.
3+ years of hands-on experience with Snowflake , including data modeling, query optimization, and performance tuning.
2+ years of experience with Apache Kafka for real-time streaming, event-driven architectures, and data integration.
3+ years of experience with SQL, Python, and Spark for large-scale data transformation and analytics.
Nice-to-haves
None flagged.
Application prep
Use the role’s language and application details while tailoring your materials.