Data Engineer (Senior) with Security Clearance

About the role

Cintel Inc. is seeking a Senior Data Engineer to lead data engineering efforts for an advanced visual analytic application. The role involves building and optimizing large-scale data systems, integrating data streams, and enabling advanced analytics through desktop and web applications.

Responsibilities

• Lead the development of advanced data analytics capabilities integrated into visual analytic software for both desktop and web environments.
• Engineer and optimize large-scale relational databases to support high-throughput data ingestion and real-time analytics.
• Facilitate bulk analysis of relational and semi-structured data using advanced visualization tools, high-performance computing techniques, and specified technologies (COTS, GOTS, and open-source).
• Design and implement data pipelines and architectures that extract, transform, and load (ETL) data from multiple sources into centralized, accessible formats.
• Establish data strategies for enterprise-scale systems, setting best practices and standards for performance, programming, and security.
• Integrate new applications and analytics systems with existing data warehouse architectures.
• Continuously evaluate and improve system performance and functionality to meet mission objectives.
• Develop and maintain data models, metadata repositories, and documentation to ensure transparency and maintainability.
• Collaborate with software developers, data scientists, and intelligence analysts to deliver scalable and secure analytic solutions.
• Translate complex business and technical requirements into robust data systems and workflows.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• Minimum of 8 years of experience in data engineering, database development, or related roles.
• Active Top Secret clearance required.
• Strong expertise in designing and building large-scale relational databases (e.g., PostgreSQL, Oracle, SQL Server).
• Proficiency in developing and maintaining ETL pipelines and working with structured/semi-structured data (e.g., JSON, XML, CSV).
• Experience with enterprise data warehouse architectures and integration of new systems into existing environments.
• Familiarity with big data frameworks (e.g., Hadoop, Spark), data modeling, and performance tuning.
• Hands-on experience with advanced data visualization and analytics platforms.
• Solid understanding of data security best practices, governance, and compliance in secure environments.
• Excellent communication, analytical, and problem-solving skills.

Qualifications

• Required Qualifications:
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• Minimum of 8 years of experience in data engineering, database development, or related roles.
• Active Top Secret clearance required.
• Strong expertise in designing and building large-scale relational databases (e.g., PostgreSQL, Oracle, SQL Server).
• Proficiency in developing and maintaining ETL pipelines and working with structured/semi-structured data (e.g., JSON, XML, CSV).
• Experience with enterprise data warehouse architectures and integration of new systems into existing environments.
• Familiarity with big data frameworks (e.g., Hadoop, Spark), data modeling, and performance tuning.
• Hands-on experience with advanced data visualization and analytics platforms.
• Solid understanding of data security best practices, governance, and compliance in secure environments.
• Excellent communication, analytical, and problem-solving skills.

Skills

• Expertise in designing and building large-scale relational databases (e.g., PostgreSQL, Oracle, SQL Server).
• Proficiency in developing and maintaining ETL pipelines and working with structured/semi-structured data (e.g., JSON, XML, CSV).
• Experience with enterprise data warehouse architectures and integration of new systems into existing environments.
• Familiarity with big data frameworks (e.g., Hadoop, Spark), data modeling, and performance tuning.
• Hands-on experience with advanced data visualization and analytics platforms.
• Solid understanding of data security best practices, governance, and compliance in secure environments.
• Excellent communication, analytical, and problem-solving skills.

Benefits

N/A

Pay

N/A

Schedule

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