Data Engineer

Mantech International Corporation • Fayetteville, NC

50d • Onsite

About The Position

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH! This is for a future opportunity MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Fayetteville, NC. In this role, you will contribute to a mission-focused team that will support military operators and mission partners by leading the design, development, and maintenance of robust data architectures and pipelines to support advanced analytics and decision-making for critical operations. You will collaborate with cross-functional teams to ensure data integrity, scalability, and performance across enterprise-level systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field OR High School and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree
• 9+ years of professional experience in data engineering or a related discipline
• Expertise with modern data engineering tools and frameworks (e.g., Apache Spark, Kafka, Airflow)
• Strong SQL skills and experience with Python or Scala for data manipulation
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP
• Knowledge of data warehousing solutions like Snowflake, Redshift, or BigQuery
• Experience with CI/CD practices and version control systems like Git
• Active Top Secret security clearance with SCI eligibility

Nice To Haves

• Master's degree in Data Science, Computer Science, or related field
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Exposure to DevSecOps practices in a mission-critical environment
• Certification in cloud technology (AWS Certified Data Analytics, GCP Professional Data Engineer, etc.)

Responsibilities

• Designing and implementing scalable and resilient data pipelines for structured and unstructured data sources
• Developing ETL/ELT processes and integrating disparate data systems
• Optimizing data storage solutions using relational, NoSQL, and cloud-based technologies
• Building data models and data marts to support business intelligence and machine learning applications
• Collaborating with data scientists, analysts, and software engineers to support end-to-end data solutions
• Ensuring data quality, governance, and compliance with security policies
• Automating data validation, testing, and monitoring processes to maintain data health
• Identifying and implementing performance improvements for large-scale data workflows
• Establishing best practices for data engineering, data quality, and data governance to support the full lifecycle of C5ISR data.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 5,001-10,000 employees