Data Engineer

MANTECH; Miami (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

MANTECH in Doral, FL is seeking a Data Engineer to design, build, and maintain scalable data architectures and ETL pipelines. You will work with data scientists and analysts to ensure data interoperability and integrity, while optimizing performance and reliability.

The role requires strong SQL, Python, and cloud data platform experience, plus the ability to document complex data workflows and architectures. On-site work in Doral is expected, with opportunities for growth.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or related field with 3+ years of experience in data engineering.
• OR a master’s degree and 1+ years of relevant experience
• OR an associate’s degree and 5+ years of relevant experience
• OR a high school diploma and 7+ years of relevant experience

Responsibilities

• Design, construct, test, and maintain scalable data architectures and processing systems.
• Develop and optimize automated ETL/ELT pipelines to ingest, transform, and load enterprise data sources.
• Collaborate with cross-functional teams, data scientists, and analysts to define data interoperability standards.
• Conduct performance tuning, data validation, and troubleshooting across complex database environments.
• Maintain data baselines, configuration management controls, and comprehensive documentation.
• Recommend and implement process improvements to enhance reliability, quality, and scalability.

Skills

SQL

Python

Scala

Java

Education

Bachelor's degree in CS/ Data Eng/ IT

Master's degree

Associate's degree

High school diploma

Tools

Airflow

Job description

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

Responsibilities Include But Are Not Limited To

• Designing, constructing, testing, and maintaining scalable data architectures and processing systems.


• Developing and optimizing automated ETL/ELT pipelines to ingest, transform, and load enterprise data sources.


• Collaborating with cross-functional technical teams, data scientists, and analysts to define data interoperability standards.


• Conducting performance tuning, data validation, and troubleshooting across complex database environments.


• Maintaining data baselines, configuration management controls, and comprehensive technical documentation.


• Recommending and implementing process improvements to enhance system reliability, data quality, and scalability.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field with 3+ years of experience in data engineering.




• OR a master’s degree and 1+ or more years of relevant experience


• OR an associate’s degree and 5+ or more years of relevant experience


• OR a high school diploma and 7+ or more years of relevant experience




• Proven experience building and managing scalable data pipelines, data warehouses, and relational databases. Strong proficiency in writing complex SQL queries and programming languages such as Python, Scala, or Java.


• Hands-on experience with cloud data platforms, database engineering, and automated workflow orchestration tools. Experience creating, maintaining, and communicating complex technical documentation and data architectures.

Preferred Qualifications

• Relevant industry certifications such as AWS Certified Data Engineer, Azure Data Engineer Associate, or Databricks Certified Data Engineer.


• Prior experience supporting U.S. Military Command operations or Department of Defense enterprise data environments.


• Familiarity with real-time streaming architectures, data governance frameworks, and containerization technologies.


• Demonstrated ability to collaborate across multi-disciplinary technical teams to drive data platform 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.