Job Summary:
Cintel, Inc. is a Small Business providing strategies and services to support an array of Government clients. They are seeking a highly experienced Senior Data Engineer to lead data engineering efforts for the development and deployment of an advanced visual analytic application, focusing on building and optimizing large-scale data systems and enabling advanced data visualization and analytics.
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.
Qualifications:
Required:
• 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.
Preferred:
• Experience in defense, intelligence, or government data environments.
• Familiarity with geospatial or temporal data visualization tools.
• Knowledge of cloud-based data services and platforms (e.g., AWS, Azure, GCP).
• Proficiency in programming/scripting languages such as Python, Scala, or Java.
• Experience with containerized environments and DevSecOps practices.
Company:
Cintel, Inc. supports clients in Cyber Security, Intelligence, Systems Engineering, and Prototype Development & Integration. Founded in 2013, the company is headquartered in Huntsville, USA, with a team of 51-200 employees. The company is currently Growth Stage.