Data Engineer - Cybersecurity Analytics - Onsite at 4171430P

Compensation

$106,840 – $160,250/yr

Setup: Remote
Location: Charlotte, North Carolina
Type: Full-time
Level: senior
Posted: Sep 11, 2026

Summary from listing

NTT DATA is hiring a Data Engineer – Cybersecurity Analytics to design, develop, and maintain scalable cloud-based data solutions for cybersecurity analytics, reporting, and operational intelligence. The role focuses on AWS Glue ETL pipelines, data lakes and warehouses, Terraform infrastructure automation, Snowflake data modeling, Kafka streaming, RESTful API integrations, SSIS packages, production pipeline monitoring, and data security and governance. It requires extensive experience across cloud data engineering, big data, AWS, Snowflake, Terraform, Python, SQL, Spark, Kafka, and related technologies, along with a bachelor’s degree or equivalent professional experience. The position is remote with a stated starting pay range of $106,840-$160,250 and includes medical, dental, and vision insurance.

Required Skills

AWS Glue
Snowflake
Terraform
Python
SQL
Spark
Kafka
RESTful API
SSIS
IAM
RBAC

Additional Information

Minimum Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
Required Previous Experiences: 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 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.
Experience troubleshooting and supporting production data pipelines in batch and real-time processing environments.
Experience working in Agile/Scrum environments and collaborating with cross-functional technical teams.