Data Engineer

• 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.

Do you have experience in Software engineering?, Do you have a High school diploma or GED?, * 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 GovCloud or Microsoft Azure Government).
• Experience configuring data pipelines to feed AI/ML engines or advanced data visualization tools.

Clearance Requirement:

• Must have a current/active Secret security clearance.

Physical Requirements

• 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.