Data Engineer
Blizzard Entertainment
AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformOraclePython
Data Engineer, Secret Clearance Required
Seneca Holdings
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureCloudCyber SecurityETLPythonTerraform
About the role
- Organize, understand, and analyze enterprise data usage to identify patterns and develop logical groupings and solutions aligned with customer’s goals.
- Develop and maintain scalable data storage processes and procedures for both on-premises and cloud environments, ensuring horizontal and vertical scalability.
- Assist in planning, designing, and evaluating migration/onboarding plans for programs and data to the cloud.
- Support the design and implementation of automated data pipelines, including CI/CD integration for data-related workflows.
- Collaborate with DevSecOps and Cloud Architecture teams to ensure data solutions align with enterprise standards and security requirements.
- Assist in defining reference architectures, standards, and interfaces for data reuse across the portfolio.
- Evaluate and implement data provisioning and management scripts/templates to support infrastructure automation.
- Participate in enterprise system testing, including data-related performance, scalability, and integration testing.
- Contribute to the modernization of data services through market research, design, and implementation of innovative data technologies.
- Ensure compliance with cybersecurity and risk management frameworks (RMF 2.0) in all data engineering activities.
- Support continuous monitoring, vulnerability management, and secure configuration of data systems in accordance with DoD and Army directives.
Requirements
- Secret security clearance with the ability for Top-Secret security clearance with SCI.
- Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
- Proficiency in data modeling, ETL processes, and cloud-based data storage solutions within the Azure framework.
- Experience with scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Familiarity with CI/CD pipelines and automation tools.
- Understanding of cybersecurity principles and RMF compliance.
- Strong analytical skills and experience with large-scale data systems.
- Ability to work collaboratively in a cross-functional team environment.
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