Data Platform Engineer

MANTECH; Miami (FL); On-site; USD 120,000 - 170,000; Full time

Job summary

MANTECH seeks a Senior Data Platform Engineer in Doral, FL to design secure, scalable data platforms and orchestrate data pipelines across teams. You will work with architects, analysts, and engineers to ensure interoperability and reliability, while maintaining documentation and baselines.

Qualifications include 5+ years in data platforms or software engineering, cloud experience, and containerization with Docker/Kubernetes; a current security clearance is preferred.

Qualifications

• Bachelor’s degree in computer science, data engineering, IT, or related field with 5+ years in data platform or software engineering.
• Proven experience building and managing large-scale data platforms, cloud architectures, or distributed data systems.
• Hands-on experience with containerization, orchestration tools (Docker, Kubernetes), and CI/CD automation pipelines.

Responsibilities

• Design secure, scalable data platform architectures and infrastructure.
• Build, optimize, and monitor data pipelines, ingestion frameworks, and ETL/ELT workflows.
• Collaborate with data architects, analysts, and engineers to define data interoperability standards.
• Tune system performance, plan capacity, and troubleshoot across distributed data platforms.
• Maintain baselines, automated configuration controls, and platform documentation.
• Evaluate new data platform technologies and drive process improvements.

Skills

Python

SQL

Scala

Data pipeline automation

CI/CD

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field

Master’s degree in related field

PhD

Associate’s degree

High school diploma

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

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

Responsibilities Include But Are Not Limited To

• 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.

Minimum Qualifications

• 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