Data Engineer

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

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

Key Responsibilities

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

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• 5 or more years of professional experience
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• 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.
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• Bachelor’s degree in Computer Science, Data Science, Information Technology, Systems Engineering, or a related technical field. \n
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  • An Associate's degree with an additional 2 years of experience may be considered.
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  • A High School Diploma combined with additional 4 years of experience may be considered.
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• Strong proficiency with one or more programming/scripting languages (e.g., Python).
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• Deep expertise in SQL and managing relational/non-relational enterprise databases.
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• Experience with data pipelining or orchestration tools (e.g., Apache Airflow, Apache NiFi, AWS Glue).
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• 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.
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Preferred Qualifications

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

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• Must have a current/active Secret security clearance.
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Physical Requirements

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• Must be able to remain in a stationary position 50% of the time.
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• Constantly operates a computer and other office productivity machinery.
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• 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.
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