Data Engineer

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

• Design, implement, and maintain secure distributed data pipelines to ingest, transform, and integrate structured and unstructured multi-source intelligence and operational data.
• Build and execute complex data extraction, cleansing, transformation, and replication processes to convert raw, disparate datasets into unified, high-performing database formats.
• Administer, query, and optimize SQL databases, data lakes, and enterprise data repositories to ensure maximum data integrity and low-latency accessibility.
• Enforce strict data quality standards and metadata management practices, diagnosing and resolving data corruption or synchronization anomalies swiftly.
• Partner with infrastructure engineers, cloud engineers, AI developers, and operational planners to deliver tailored data sets that support advanced analytics and automated workflows.

• 5 or more years of professional experience
• 2 or more years of experience in data engineering, data architecture, or software development—ideally within a Department of Defense (DoD), federal agency, or defense contractor framework.
• Bachelor’s degree in Computer Science, Data Science, Information Technology, Systems Engineering, or a related technical field.
• An Associate’s degree with an additional 2 years of experience may be considered.
• A High School Diploma combined with additional 4 years of experience may be considered.
• Strong proficiency with one or more programming/scripting languages (e.g., Python).
• Deep expertise in SQL and managing relational/non-relational enterprise databases.
• Experience with data pipelining or orchestration tools (e.g., Apache Airflow, Apache NiFi, AWS Glue).
• Must possess an active DoD 8570 IAT Level II certification (e.g., Security+ CE, CySA+, or equivalent) or have the ability to obtain one within 90 days of hire.

• Prior experience supporting data initiatives at a DoD Combatant Command (e.g., USSOUTHCOM) or working within dual unclassified/classified network architectures (NIPR/SIPR).
• Proficiency with Linux (Red Hat Enterprise Linux).
• Experience working with Git.
• Hands‑on experience with data lake or data lakehouse architectures (e.g., Apache Iceberg).
• Experience with containerization and container-based deployment (e.g., Docker, Podman).
• Hands‑on experience with big data technologies and streaming frameworks (e.g., Apache Spark, Kafka).
• Familiarity with cloud data services (AWS Gov Cloud or Microsoft Azure Government).
• Experience configuring data pipelines to feed AI/ML engines or advanced data visualization tools.

• Must have a current/active Secret security clearance.

• Must be able to remain in a stationary position 50% of the time.
• Constantly operates a computer and other office productivity machinery.
• Frequently communicates with co‑workers, management, and military customers, which may involve technical presentations or briefings. Must be able to exchange accurate information in these situations.