Bachelor's degree in Engineering or a related technical field
Minimum of 8 years of experience in data engineering or related roles
Strong experience with ETL processes and data migration
Proficiency in Java
Hands-on experience with Oracle and PostgreSQL databases
Experience using Apache Spark for large-scale data processing
Active Top Secret security clearance (required at time of hire)
Responsibilities
Design, develop, and maintain scalable ETL pipelines and data workflows
Lead and support data migration efforts across enterprise systems
Develop and optimize data processing solutions using Apache Spark
Work with relational databases including Oracle and PostgreSQL
Write and maintain backend services and data integrations using Java
Ensure data quality, integrity, and performance across platforms
Collaborate with cross-functional teams to support system modernization efforts
Benefits
Engage in complex, mission-driven data initiatives
Opportunity to work in a dynamic team and collaborative environment
Exposure to modern technologies and methodologies in data engineering
Support for professional growth and learning new skills
Involvement in government-oriented projects with significant impact
Full Job Description
Position Title: Data Engineer (Mid)
Location: Redstone Arsenal
Position Type: Full-Time
Position Overview
We are seeking a highly skilled Data Engineer (Mid) to support advanced intelligence and analytics initiatives in Huntsville, AL. The selected engineer will work with a combination of open-source technologies, Commercial Off-The-Shelf (COTS), and Government Off-The-Shelf (GOTS) tools to develop and deliver an advanced visual analytic application. This application will transform streams of structured and semi-structured data into manageable, actionable intelligence for mission-critical operations.
Key Responsibilities
Design, develop, and deliver advanced visual analytic applications for desktop and web-based platforms
Develop and implement data analytics solutions that enable bulk analysis of relational and semi-structured data
Utilize advanced graphics, data visualization techniques, and high-performance computing to support intelligence workflows
Design strategies for enterprise database systems, including standards for operations, programming, and security
Design, construct, and maintain large-scale relational databases
Integrate new systems with existing data warehouse architectures
Optimize system performance, scalability, and functionality
Collaborate with cross-functional engineering and mission teams to ensure successful delivery of analytics solutions
Apply open-source, COTS, and GOTS technologies to meet program and government requirements
Required Qualifications
Active Top Secret (TS) security clearance
Bachelor's degree (BS or BA) in Computer Science, Engineering, Information Systems, or a related technical field
Senior-level experience in data engineering, database design, and analytics development
Strong experience working with structured and semi-structured data sources
Experience designing and supporting enterprise-scale database and data warehouse systems
Proficiency with data visualization tools and analytic software for desktop and web environments
6+ years of related experience
Preferred Qualifications
Experience supporting Department of Defense or Intelligence Community programs
Familiarity with high-performance computing environments
Experience integrating data analytics solutions into existing enterprise architectures
CULTURE REQUIREMENTS:
Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self-organized. We place a lot of trust in our team members to develop technical solutions for ill-defined problems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers.
We want our team members to be self-motivated and eager to learn new skills. If you consider yourself a jack-of-all-trades, and are eager to keep up with the latest trends in technology, you'll fit right in.
