Data Engineer

MANTECH • Doral, FL

10h • Onsite

About The Position

Shape the future of defense with MANTECH! Join a team dedicated to safeguarding our nation through advanced tech and innovative solutions. Since 1968, we’ve been a trusted partner to the Department of Defense, delivering cutting-edge projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now—protect and innovate with MANTECH!

MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Doral, FL.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field with 3+ years of experience in data engineering OR a master’s degree and 1+ or more years of relevant experience OR an associate’s degree and 5+ or more years of relevant experience OR a high school diploma and 7+ or more years of relevant experience
• Proven experience building and managing scalable data pipelines, data warehouses, and relational databases.
• Strong proficiency in writing complex SQL queries and programming languages such as Python, Scala, or Java.
• Hands-on experience with cloud data platforms, database engineering, and automated workflow orchestration tools.
• Experience creating, maintaining, and communicating complex technical documentation and data architectures.
• Must hold a current/active secret security clearance.

Nice To Haves

• Relevant industry certifications such as AWS Certified Data Engineer, Azure Data Engineer Associate, or Databricks Certified Data Engineer.
• Prior experience supporting U.S. Military Command operations or Department of Defense enterprise data environments.
• Familiarity with real-time streaming architectures, data governance frameworks, and containerization technologies.
• Demonstrated ability to collaborate across multi-disciplinary technical teams to drive data platform improvements.

Responsibilities

• Designing, constructing, testing, and maintaining scalable data architectures and processing systems.
• Developing and optimizing automated ETL/ELT pipelines to ingest, transform, and load enterprise data sources.
• Collaborating with cross-functional technical teams, data scientists, and analysts to define data interoperability standards.
• Conducting performance tuning, data validation, and troubleshooting across complex database environments.
• Maintaining data baselines, configuration management controls, and comprehensive technical documentation.
• Recommending and implementing process improvements to enhance system reliability, data quality, and scalability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level