NTT DATA Services

Sr. Data Engineer (Cybersecurity Analytics / FTE / Hybrid)

NTT DATA Services • $100K — $130K *
Charlotte, NC 28269Hybrid
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years in cloud-based Data Engineering and Big Data processing environments.
  • 3+ years with AWS Glue for ETL development and orchestration.
  • 3+ years using Terraform for Infrastructure-as-Code automation.
  • 4+ years designing Data Warehouses and Data Lakes with AWS S3 or Snowflake.
  • 3+ years of hands-on experience with Snowflake, including data modelling and performance tuning.
  • 2+ years working with Apache Kafka for data streaming and ETL.
  • Proficient in SQL, Python, and Spark for data transformation.

Responsibilities

  • Develop and optimize AWS Glue ETL pipelines for cybersecurity data.
  • Design scalable solutions using AWS S3, Snowflake, and cloud-native services.
  • Manage Infrastructure-as-Code deployments with Terraform.
  • Create RESTful API integrations for secure data communication.
  • Monitor and troubleshoot production ETL jobs to ensure performance.
  • Participate in architecture and code reviews to enhance data engineering standards.
  • Collaborate with various teams to implement secure data solutions.

Benefits

  • Hybrid work model allowing flexibility between office and remote.
  • Collaborative environment with cross-functional team interactions.
  • Commitment to data governance and compliance best practices.
  • Focus on continuous improvement through Agile methodologies.
Full Job Description
Req ID: 375969

We are currently seeking a Sr. Data Engineer (Cybersecurity Analytics / FTE / Hybrid) to join our team in Charlotte, North Carolina (US-NC), United States (US).

Day to Day Job Duties:
  • Develop, maintain, and optimize AWS Glue ETL pipelines for ingesting and transforming cybersecurity-related data from multiple sources.
  • Design and implement scalable Data Warehouse and Data Lake solutions using AWS S3, Snowflake, and cloud-native services.
  • Build and manage Infrastructure-as-Code (IaC) deployments using Terraform for cloud provisioning and environment automation.
  • Develop and optimize Snowflake data models, stored procedures, and queries to support analytics, reporting, and large-scale data processing.
  • Create and manage RESTful API integrations for secure data ingestion and communication between front-end applications and backend systems.
  • Work with Apache Kafka for real-time streaming, event-driven data ingestion, and ETL workflows.
  • Develop and debug SSIS packages for batch data processing and migration activities.
  • Collaborate with cybersecurity, DevOps, QA, and application teams to ensure secure, scalable, and reliable data solutions.
  • Implement data governance, encryption, access control, and compliance best practices across cloud-based platforms.
  • Monitor production ETL jobs, troubleshoot failures, optimize performance, and support release deployments.
  • Participate in architecture reviews, code reviews, and security assessments to improve data engineering standards and operational efficiency.
  • Support Agile/Scrum ceremonies including sprint planning, backlog grooming, daily stand-ups, and retrospectives.

Basic Qualifications:
  • Minimum 5+ years of experience in cloud-based Data Engineering and Big Data processing environments.
  • Minimum 3+ years of hands-on experience with AWS Glue for ETL development, orchestration, and monitoring.
  • Minimum 3+ years of experience with Terraform for Infrastructure-as-Code (IaC) automation and cloud deployments.
  • Minimum 4+ years of experience designing and supporting Data Warehouses and Data Lakes using AWS S3, Snowflake, or similar platforms.
  • Minimum 3+ years of hands-on experience with Snowflake including data modelling, query optimization, and performance tuning.
  • Minimum 2+ years of experience working with Apache Kafka for streaming and ETL integrations.
  • Minimum 3+ years of experience in SQL, Python, and Spark for large-scale data transformation and analytics.
  • Minimum 2+ years of experience creating and consuming RESTful APIs using JSON, OAuth, API keys, and related authentication mechanisms.
  • Minimum 2+ years of experience creating, maintaining, and debugging SSIS packages.
  • Strong understanding of cloud security, encryption, IAM roles, RBAC, and data governance best practices.
  • Experience troubleshooting production data pipelines and supporting batch/real-time processing systems.
  • Experience working in Agile development environments with cross-functional teams.

Travel: N/A

Degree: Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience.

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About NTT DATA Services

NTT DATA Corporation is a Japanese multinational information technology service and consulting company headquartered in Tokyo, Japan. It is partially-owned subsidiary of Nippon Telegraph and Telephone. Japan Telegraph and Telephone Public Corporation, a predecessor of NTT, started Data Communications business in 1967. NTT, following its privatization in 1985, spun off the Data Communications division as NTT DATA in 1988, which has now become the largest of the IT Services companies headquartered in Japan.
Learn more about NTT DATA Services
Size
151,991 employees
Industry
Technical Services
Founded
1988
NASDAQ
NTTDF
* Ladders Estimates

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