Data Engineer - Cybersecurity Analytics - Onsite

NTT DATA Services•Charlotte, NC

1d•$106,840 - $160,250•Onsite

About The Position

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.

Requirements

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.

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.