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# Data Platform Engineer

- **Company:** Mantech International Corporation
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Configuration Management, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Distributed Data Store, Python (Programming Language), Meta-Data Management, Performance Tuning, Software Engineering, SQL Databases, Data Streaming, Workflow Management Systems, Cloud Platform System, Azure Data Factory, Delivery Pipeline, Reliability of Systems, Containerization, Kubernetes, Information Technology, Data Pipelines, Docker
- **Published:** October 10, 2026
- **Apply:** https://www.miamigigs.com/job.asp?id=3430571175&tx=KJ8989FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field AND five (5) or more years of experience in data platform or software engineering.
 * OR a master's degree and 3+ or more years of relevant experience
 * OR a PhD and 1+ or more years of relevant experience
 * OR an associate's degree and 7+ or more years of relevant experience
 * OR a high school diploma and 9+ or more years of relevant experience
 * Proven experience building and managing large-scale data platforms, cloud architectures, or distributed data systems. Strong background in database engineering, data pipeline automation, and proficiency in programming languages such as Python, Scala, or SQL.
 * Hands-on experience with containerization, orchestration tools (e.g., Docker, Kubernetes), and CI/CD automation pipelines. Experience creating, maintaining, and communicating complex technical documentation and platform architectures.

Preferred Qualifications:

 * Relevant industry certifications (e.g., AWS Certified Data Engineer, Azure Data Engineer Associate).
 * Prior experience supporting U.S. Military Command operations or Department of Defense enterprise technical environments.
 * Familiarity with data governance frameworks, metadata management tools, and real-time streaming technologies.
 * Demonstrated ability to collaborate across multi-disciplinary engineering teams to drive infrastructure improvements.

Clearance Requirements:

 * Must hold a current/active secret security clearance.

Physical Requirements:

 * Must be able to remain in a stationary position 50%.
 * Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
 * Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

## Description

* Designing, constructing, and maintaining secure, scalable data platform architectures and underlying infrastructure.
 * Building, optimizing, and monitoring enterprise data pipelines, ingestion frameworks, and ETL/ELT workflows.
 * Collaborating with cross-functional technical teams, data architects, and analysts to define data interoperability standards.
 * Conducting system performance tuning, capacity planning, and troubleshooting across distributed data platforms.
 * Maintaining system baselines, automated configuration management controls, and platform engineering documentation.
 * Evaluating emerging data platform technologies and implementing process improvements to maximize system reliability and scalability.